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.