Triple

T28269485
Position Surface form Disambiguated ID Type / Status
Subject Republic of China politics E712803 entity
Predicate firstOppositionPartyPresident P5584 FINISHED
Object Chen Shui-bian 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: Chen Shui-bian | Statement: [Republic of China politics, firstOppositionPartyPresident, Chen Shui-bian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstOppositionPartyPresident
Context triple: [Republic of China politics, firstOppositionPartyPresident, Chen Shui-bian]
  • A. partyLeaderUnitedStates
    Indicates that the subject is the leader of a political party in the United States.
  • B. oppositionLeader chosen
    Indicates that one entity serves as the primary political leader of the opposition in relation to another governing entity.
  • C. hasVicePresidentFor
    Indicates that an entity has a specific person or role serving as its vice president for a particular domain, function, or area of responsibility.
  • D. otherMajorPartyLeader
    Indicates that one person is the leader of a different major political party than the other person.
  • E. vicePresidentPoliticalParty
    Indicates that a person serving as vice president is affiliated with a specified political party.
  • 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_69efb5216c6881908020dce4aea65381 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69ffef812da48190b875a7376b24f92d completed May 10, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69ffedecd580819097851b1473fdd6ed completed May 10, 2026, 2:31 a.m.
Created at: April 27, 2026, 11:17 p.m.