Triple

T34910963
Position Surface form Disambiguated ID Type / Status
Subject 2014 Connecticut gubernatorial election E1006863 entity
Predicate electionForTerm P77824 FINISHED
Object 2015–2019 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: 2015–2019 | Statement: [2014 Connecticut gubernatorial election, electionForTerm, 2015–2019]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electionForTerm
Context triple: [2014 Connecticut gubernatorial election, electionForTerm, 2015–2019]
  • A. electedForTerm chosen
    Indicates that an entity has been chosen through an election to hold a position or office for a specified term or duration.
  • B. electionForOffice
    Indicates that an election event is held to select or fill a specific office or position.
  • C. electionIs
    Indicates that a particular event, process, or state qualifies as or constitutes an election.
  • D. isThirdTermElectionFor
    Indicates that an election is being held for a candidate’s third consecutive term in a given office or position.
  • E. electionCycle
    Indicates the recurring period or sequence of time in which elections are organized, conducted, and repeated for a given office or political system.
  • 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_69f76dc1b4a081909b4c6e4d8ec0aa2d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff2d22ffb48190ae58ddf3c7e02869 completed May 9, 2026, 12:48 p.m.
PD Predicate disambiguation batch_69ff2ac2e1c4819096cc64e94aef2ff0 completed May 9, 2026, 12:38 p.m.
Created at: May 3, 2026, 4 p.m.