Triple

T7297614
Position Surface form Disambiguated ID Type / Status
Subject Laura Kelly E164563 entity
Predicate focusesOnPoliticalIssue P25878 FINISHED
Object education funding 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: education funding | Statement: [Laura Kelly, focusesOnPoliticalIssue, education funding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusesOnPoliticalIssue
Context triple: [Laura Kelly, focusesOnPoliticalIssue, education funding]
  • A. politicalIssueIn
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • B. politicalIssueFor chosen
    Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given entity.
  • C. viewOnPolitics
    Indicates that one entity holds or expresses a particular opinion, stance, or perspective regarding political matters in relation to another entity or context.
  • D. currentPoliticalTrend
    Indicates the prevailing direction or pattern of political attitudes, behaviors, or power dynamics at a given time.
  • E. participatesInPoliticsOf
    Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another entity.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8f83c881909e8eae85410f9659 completed March 27, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69c6e76e67d88190bd3ca6864f45845a completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 3 p.m.