Triple

T806181
Position Surface form Disambiguated ID Type / Status
Subject Donald Trump presidential campaigns E17438 entity
Predicate partyNominationStatus2016 P1222 FINISHED
Object won Republican nomination 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: won Republican nomination | Statement: [Donald Trump presidential campaigns, partyNominationStatus2016, won Republican nomination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partyNominationStatus2016
Context triple: [Donald Trump presidential campaigns, partyNominationStatus2016, won Republican nomination]
  • A. yearOfPresidentialNomination
    Indicates the specific year in which an individual was formally nominated as a presidential candidate.
  • B. democraticNominee
    Indicates that one entity is the officially selected Democratic Party candidate for the position or role associated with the other entity.
  • C. candidateNomination
    Indicates that an individual is formally put forward or proposed as a candidate for a position, role, or office.
  • D. runningMateParty
    Indicates that two individuals who are running mates in an election are affiliated with the same political party.
  • E. republicanNominee chosen
    Indicates that the subject is the officially selected Republican Party candidate for the specified office or election.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ace495348190aec66f35ea90bc89 completed March 1, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69a4aa70973c8190adbf08302d1103a9 completed March 1, 2026, 9:06 p.m.
Created at: March 1, 2026, 7:38 p.m.