Triple

T29781
Position Surface form Disambiguated ID Type / Status
Subject 13th Council District of Los Angeles E594 entity
Predicate officeContestedIn P495 FINISHED
Object Los Angeles municipal elections 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: Los Angeles municipal elections | Statement: [13th Council District of Los Angeles, officeContestedIn, Los Angeles municipal elections]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeContestedIn
Context triple: [13th Council District of Los Angeles, officeContestedIn, Los Angeles municipal elections]
  • A. officeContested chosen
    Indicates that a particular office or position is being actively sought or challenged by multiple parties in an election or selection process.
  • B. conflictIn
    Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
  • C. limitsOffice
    Indicates that one entity imposes a restriction or cap on the scope, duration, or powers of another entity’s office or official position.
  • D. controversy
    Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
  • E. prosecuted
    Indicates that legal authorities have formally brought criminal charges against an entity and pursued a case against them in a court of law.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a2490019948190a89bb0910c60d462 completed Feb. 28, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69a2486d40348190b2d21fc444f499a6 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.