Triple

T11265678
Position Surface form Disambiguated ID Type / Status
Subject 2006 United States Senate election in Connecticut E266678 entity
Predicate termLengthContested P540 FINISHED
Object 6 years 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: 6 years | Statement: [2006 United States Senate election in Connecticut, termLengthContested, 6 years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: termLengthContested
Context triple: [2006 United States Senate election in Connecticut, termLengthContested, 6 years]
  • A. hasOfficeContested
    Indicates that an individual has been a candidate for a particular public office in an election.
  • B. termLength chosen
    Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
  • C. wasContestedBetween
    Indicates that an event, position, or resource was the subject of competition or dispute involving two or more opposing parties.
  • D. laterContestedBy
    Indicates that an earlier claim, decision, or statement is subsequently challenged or disputed by another party or source.
  • E. wasContestedIn
    Indicates that an event, position, or decision was the subject of competition, dispute, or challenge within a particular context or proceeding.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94e5e3c8190a31995d55d20d7ed completed April 9, 2026, 6 p.m.
PD Predicate disambiguation batch_69d7879bc56c8190b2e8d2193f29de05 completed April 9, 2026, 11:03 a.m.
Created at: April 8, 2026, 9:31 p.m.