Triple

T15795769
Position Surface form Disambiguated ID Type / Status
Subject Spence E382973 entity
Predicate firstContestedInElection P38352 FINISHED
Object 2019 Australian federal election 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: 2019 Australian federal election | Statement: [Spence, firstContestedInElection, 2019 Australian federal election]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstContestedInElection
Context triple: [Spence, firstContestedInElection, 2019 Australian federal election]
  • A. firstContestedIn chosen
    Indicates the event, competition, or context in which something (such as a title, office, or position) was initially challenged or competed for.
  • B. wasContestedIn
    Indicates that an event, position, or decision was the subject of competition, dispute, or challenge within a particular context or proceeding.
  • C. firstContestedBetween
    Indicates that a particular contest, dispute, or competition initially occurred between the specified entities.
  • D. wasContestedBetween
    Indicates that an event, position, or resource was the subject of competition or dispute involving two or more opposing parties.
  • E. firstSeasonContested
    Indicates the season in which an entity (such as a team, player, or participant) first took part in a particular competition or contest.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4dc887081909d682ae153f06d97 completed April 16, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e00537bd1c81908d6e832792fd934f completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:48 a.m.