Triple
T1106683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NITI Aayog |
E25501
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
NITI
NITI is the commonly used abbreviation for NITI Aayog, India’s premier public policy think tank and central planning institution.
|
E126558
|
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: NITI | Statement: [NITI Aayog, abbreviation, NITI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NITI Context triple: [NITI Aayog, abbreviation, NITI]
-
A.
NIP
NIP is the commonly used acronym for the U.S. National Intelligence Program, which funds and coordinates the nation’s primary intelligence activities across multiple agencies.
-
B.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
C.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
-
D.
NI
NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
-
E.
NIS
NIS (Network Information Service) is a client-server directory service protocol developed by Sun Microsystems to centrally manage and distribute system configuration data such as user and host information across Unix networks.
- 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: NITI Triple: [NITI Aayog, abbreviation, NITI]
Generated description
NITI is the commonly used abbreviation for NITI Aayog, India’s premier public policy think tank and central planning institution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NITI Target entity description: NITI is the commonly used abbreviation for NITI Aayog, India’s premier public policy think tank and central planning institution.
-
A.
NIP
NIP is the commonly used acronym for the U.S. National Intelligence Program, which funds and coordinates the nation’s primary intelligence activities across multiple agencies.
-
B.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
C.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
-
D.
NI
NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
-
E.
NIS
NIS (Network Information Service) is a client-server directory service protocol developed by Sun Microsystems to centrally manage and distribute system configuration data such as user and host information across Unix networks.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e339f88190afc027216e95d2f7 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c4cee1881909ca8af01f22bb8bb |
completed | March 7, 2026, 4:03 p.m. |
| NEDg | Description generation | batch_69ac4d1d58ac8190b1fc39a28aff8c46 |
completed | March 7, 2026, 4:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4d90c3dc819092f6be4888851477 |
completed | March 7, 2026, 4:08 p.m. |
Created at: March 1, 2026, 7:43 p.m.