Triple
T5739250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Organization of Supreme Audit Institutions |
E126572
|
entity |
| Predicate | hasOrgan |
P35
|
FINISHED |
| Object |
INTOSAI Knowledge Sharing and Knowledge Services Committee
The INTOSAI Knowledge Sharing and Knowledge Services Committee is a specialized body within the International Organization of Supreme Audit Institutions that promotes the exchange of audit knowledge, good practices, and capacity-building resources among member supreme audit institutions worldwide.
|
E543232
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: INTOSAI Knowledge Sharing and Knowledge Services Committee | Statement: [International Organization of Supreme Audit Institutions, hasOrgan, INTOSAI Knowledge Sharing and Knowledge Services Committee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INTOSAI Knowledge Sharing and Knowledge Services Committee Context triple: [International Organization of Supreme Audit Institutions, hasOrgan, INTOSAI Knowledge Sharing and Knowledge Services Committee]
-
A.
Technical Committee of Experts
The Technical Committee of Experts is a specialized advisory body that provides technical guidance and expertise to support the Niger Basin Authority’s decisions and regional water-resource management.
-
B.
Knowledge Services Group
Knowledge Services Group is a division within the Congressional Research Service that focuses on managing, organizing, and providing access to information and knowledge resources for Congress.
-
C.
Committee on Electronic Information and Communication
The Committee on Electronic Information and Communication is a body within the International Mathematical Union responsible for overseeing and advising on the Union’s digital communication, online services, and electronic information infrastructure.
-
D.
Information Processing Society of Japan
The Information Processing Society of Japan is a leading Japanese professional organization dedicated to advancing research, education, and industry collaboration in computer science and information technology.
-
E.
Committee on Information Technology
The Committee on Information Technology is a body within the Judicial Conference of the United States responsible for overseeing and advising on information technology policy and systems for the federal judiciary.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: INTOSAI Knowledge Sharing and Knowledge Services Committee Triple: [International Organization of Supreme Audit Institutions, hasOrgan, INTOSAI Knowledge Sharing and Knowledge Services Committee]
Generated description
The INTOSAI Knowledge Sharing and Knowledge Services Committee is a specialized body within the International Organization of Supreme Audit Institutions that promotes the exchange of audit knowledge, good practices, and capacity-building resources among member supreme audit institutions worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: INTOSAI Knowledge Sharing and Knowledge Services Committee Target entity description: The INTOSAI Knowledge Sharing and Knowledge Services Committee is a specialized body within the International Organization of Supreme Audit Institutions that promotes the exchange of audit knowledge, good practices, and capacity-building resources among member supreme audit institutions worldwide.
-
A.
Technical Committee of Experts
The Technical Committee of Experts is a specialized advisory body that provides technical guidance and expertise to support the Niger Basin Authority’s decisions and regional water-resource management.
-
B.
Knowledge Services Group
Knowledge Services Group is a division within the Congressional Research Service that focuses on managing, organizing, and providing access to information and knowledge resources for Congress.
-
C.
Committee on Electronic Information and Communication
The Committee on Electronic Information and Communication is a body within the International Mathematical Union responsible for overseeing and advising on the Union’s digital communication, online services, and electronic information infrastructure.
-
D.
Information Processing Society of Japan
The Information Processing Society of Japan is a leading Japanese professional organization dedicated to advancing research, education, and industry collaboration in computer science and information technology.
-
E.
Committee on Information Technology
The Committee on Information Technology is a body within the Judicial Conference of the United States responsible for overseeing and advising on information technology policy and systems for the federal judiciary.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255dc35c8190ab9ee5d269ce553a |
completed | March 22, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e168ebc8190ba8cb1b3e1b074d5 |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c087c85ba08190bb08458d1659bb16 |
completed | March 23, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0887afa7881908718c5ec10d932a0 |
completed | March 23, 2026, 12:25 a.m. |
Created at: March 22, 2026, 3:48 p.m.