Triple

T37417995
Position Surface form Disambiguated ID Type / Status
Subject 2018 United States Senate election in Texas E929768 entity
Predicate percentageForTedCruz P188057 FINISHED
Object 50.9% 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: 50.9% | Statement: [2018 United States Senate election in Texas, percentageForTedCruz, 50.9%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: percentageForTedCruz
Context triple: [2018 United States Senate election in Texas, percentageForTedCruz, 50.9%]
  • A. percentageForRepublic
    Indicates the percentage value that is allocated, attributed, or applicable to the entity referred to as "Republic" within a given context.
  • B. percentageParty1
    Indicates the proportion or share attributed to the first party in a relationship, typically expressed as a percentage of some total.
  • C. percentageOtherMajorCandidate
    Indicates the proportion of support or votes received by candidates other than the main or major candidates in a given contest or election.
  • D. voterTurnoutPercentage
    Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
  • E. opponentPopularVotePercentage
    Indicates the percentage of the total popular vote received by the opposing candidate or party in an election.
  • F. None of above. chosen

Provenance (4 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_69f76ebde49481908566cd96b37ccc84 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb9e1845e881908d19158440cf3b87 completed May 6, 2026, 8:01 p.m.
PD Predicate disambiguation batch_69fb8d08d6988190a00794ac26078348 completed May 6, 2026, 6:48 p.m.
PDg Predicate description generation batch_69fb9e173f348190b7ab5935e4dca039 completed May 6, 2026, 8:01 p.m.
Created at: May 3, 2026, 4:16 p.m.