Triple

T16103760
Position Surface form Disambiguated ID Type / Status
Subject Democratic Party presidential primaries, 2012 E390687 entity
Predicate featuredIncumbentPresident P1789 FINISHED
Object true 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: true | Statement: [Democratic Party presidential primaries, 2012, featuredIncumbentPresident, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuredIncumbentPresident
Context triple: [Democratic Party presidential primaries, 2012, featuredIncumbentPresident, true]
  • A. hasIncumbentPresidentCandidate chosen
    Indicates that a political entity (such as a party, election, or race) has a current office-holding president running as a candidate in that contest.
  • B. presidentElect
    Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
  • C. ranPresidentialCandidate
    Indicates that the subject has been a candidate in a presidential election.
  • D. lastIncumbent
    Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
  • E. incumbent
    Indicates that an entity currently holds a particular position, office, or role at the present time.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6a4b8881908e8dc186381196d8 completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e182804208819087f35307cd6e4103 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5 a.m.