Triple

T17274485
Position Surface form Disambiguated ID Type / Status
Subject Sheila Dikshit E419350 entity
Predicate termEndAsMPKannauj P126586 FINISHED
Object 1989 LITERAL FINISHED

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: 1989 | Statement: [Sheila Dikshit, termEndAsMPKannauj, 1989]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: termEndAsMPKannauj
Context triple: [Sheila Dikshit, termEndAsMPKannauj, 1989]
  • A. termEndAsGovernorOfWestBengal
    Indicates the point in time when an individual's tenure as Governor of West Bengal comes to an end.
  • B. termEndAsCouncillor
    Indicates that an individual’s period of service in the role of councillor has concluded.
  • C. termEndAsChiefMinisterOfHaryana
    Indicates the point in time when an individual's tenure serving as Chief Minister of Haryana concludes.
  • D. termEndAsUNGAPresident
    Indicates that an individual's tenure or service as President of the United Nations General Assembly has concluded.
  • E. termEndAsLeaderOfOpposition
    Indicates the point in time when an entity’s tenure serving as leader of the opposition comes to an end.
  • F. None of above. chosen

Provenance (4 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332566c08190b4495dbbfe310ab6 completed April 19, 2026, 1:43 a.m.
PD Predicate disambiguation batch_69e3832c3b98819091967ac7e91ba316 completed April 18, 2026, 1:12 p.m.
PDg Predicate description generation batch_69e3873f62108190966c4e741ebd548d completed April 18, 2026, 1:29 p.m.
Created at: April 10, 2026, 5:40 a.m.