Triple
T18776306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IAU Divisions |
E459142
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object |
Division B: Facilities, Technologies and Data Science
Division B: Facilities, Technologies and Data Science is an International Astronomical Union division focused on the development, coordination, and optimization of astronomical facilities, instrumentation, technologies, and data science practices for the global astronomy community.
|
E1342329
|
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: Division B: Facilities, Technologies and Data Science | Statement: [IAU Divisions, hasDivision, Division B: Facilities, Technologies and Data Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Division B: Facilities, Technologies and Data Science Context triple: [IAU Divisions, hasDivision, Division B: Facilities, Technologies and Data Science]
-
A.
Office of Data Science
The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
-
B.
Center for Data Engineering
The Center for Data Engineering is a research hub at IIIT Hyderabad focused on advancing data science, big data systems, and machine learning technologies.
-
C.
Intelligent Systems Division
The Intelligent Systems Division is a research and development unit within Southwest Research Institute that focuses on advanced automation, artificial intelligence, and related intelligent technologies for industrial and governmental applications.
-
D.
Resources and Technical Services Division
The Resources and Technical Services Division was a former division of the American Library Association that focused on issues related to library collections, cataloging, and technical services.
-
E.
Scientific Data Systems
Scientific Data Systems was an early computer company known for producing advanced scientific and real-time computing systems in the 1960s before being acquired by Xerox.
- 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: Division B: Facilities, Technologies and Data Science Triple: [IAU Divisions, hasDivision, Division B: Facilities, Technologies and Data Science]
Generated description
Division B: Facilities, Technologies and Data Science is an International Astronomical Union division focused on the development, coordination, and optimization of astronomical facilities, instrumentation, technologies, and data science practices for the global astronomy community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Division B: Facilities, Technologies and Data Science Target entity description: Division B: Facilities, Technologies and Data Science is an International Astronomical Union division focused on the development, coordination, and optimization of astronomical facilities, instrumentation, technologies, and data science practices for the global astronomy community.
-
A.
Office of Data Science
The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
-
B.
Center for Data Engineering
The Center for Data Engineering is a research hub at IIIT Hyderabad focused on advancing data science, big data systems, and machine learning technologies.
-
C.
Intelligent Systems Division
The Intelligent Systems Division is a research and development unit within Southwest Research Institute that focuses on advanced automation, artificial intelligence, and related intelligent technologies for industrial and governmental applications.
-
D.
Resources and Technical Services Division
The Resources and Technical Services Division was a former division of the American Library Association that focused on issues related to library collections, cataloging, and technical services.
-
E.
Scientific Data Systems
Scientific Data Systems was an early computer company known for producing advanced scientific and real-time computing systems in the 1960s before being acquired by Xerox.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933b912481908bfd97216eacb257 |
completed | April 20, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05471248788190a164e70bd18240ab |
completed | May 14, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a0548fd3dc88190bcbf68b6a5944ef8 |
completed | May 14, 2026, 4:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a054a58e78c819085766f8d674e0012 |
completed | May 14, 2026, 4:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.