Triple

T29416596
Position Surface form Disambiguated ID Type / Status
Subject Union Home Secretary of India E746042 entity
Predicate rankInIAS P84723 FINISHED
Object Secretary to the Government of India NE NERFINISHED

How this triple was built (2 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: Secretary to the Government of India | Statement: [Union Home Secretary of India, rankInIAS, Secretary to the Government of India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankInIAS
Context triple: [Union Home Secretary of India, rankInIAS, Secretary to the Government of India]
  • A. rankIn
    Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
  • B. rankInCountry
    Indicates the position or standing of an entity within a specific country according to some ranking or ordered criterion.
  • C. natureOfRank chosen
    Indicates the type or character of a rank, specifying what kind of ranking or hierarchical status it represents.
  • D. rankWithinBritishIndia
    Indicates the relative hierarchical position or status an entity held within the administrative, military, or social ranking system of British India.
  • E. hasUniversityRankingRole
    Indicates that an entity holds a specific role or function related to determining, managing, or representing a university’s ranking.
  • F. None of above.

Provenance (3 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_69f0a79f6d5c8190a350baed0157e06f completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc53f4f881908dcc698687bbb64d completed May 3, 2026, 7:42 a.m.
Created at: April 28, 2026, 3:01 p.m.