Triple

T31742965
Position Surface form Disambiguated ID Type / Status
Subject United Nations Commission for India and Pakistan E810187 entity
Predicate involvesParties P138074 FINISHED
Object 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: Government of India | Statement: [United Nations Commission for India and Pakistan, involvesParties, Government of India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvesParties
Context triple: [United Nations Commission for India and Pakistan, involvesParties, Government of India]
  • A. legalParties
    Indicates that the related entities are formally recognized participants in a legal relationship, case, contract, or proceeding.
  • B. involvesPartyRole
    Indicates that a situation, event, or agreement includes a participant fulfilling a specific role or function within that context.
  • C. partiesAre chosen
    Indicates that certain entities are the participants or sides involved in a particular relationship, agreement, or event.
  • D. addressesParties
    Indicates that one entity formally directs communication, documentation, or statements to specific parties as their intended recipients.
  • E. arePartyTo
    Indicates that the entities are participants or signatories in the same agreement, contract, or legal arrangement.
  • 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_69f348e233cc819083b6695f70cd75d8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd231cab588190ad0953dc8f4af8f2 completed May 7, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69fd1aa3f1c481909fe6e9cab1383551 completed May 7, 2026, 11:05 p.m.
Created at: April 30, 2026, 11:25 p.m.