Triple

T3520430
Position Surface form Disambiguated ID Type / Status
Subject Dallas city government E74407 entity
Predicate electsThrough P1796 FINISHED
Object 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: municipal elections | Statement: [Dallas city government, electsThrough, municipal elections]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electsThrough
Context triple: [Dallas city government, electsThrough, municipal elections]
  • A. elects
    Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
  • B. electedWith
    Indicates that one entity attained an elected position or office together with, or as part of the same electoral outcome as, another entity.
  • C. electsDelegatesTo chosen
    Indicates that one entity selects or votes to choose representatives (delegates) who will act or decide on its behalf in another body or process.
  • D. electedFrom
    Indicates that an individual has been chosen through an election to represent or serve a specific geographic area, constituency, or jurisdiction.
  • E. membersAreElectedIn
    Indicates that the members of a group or body attain their positions through an election process held within a specified context or jurisdiction.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4af70c8190a7471f28e1efd7fd completed March 8, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69adae10689c8190b7dc6d7daa8295b6 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:19 p.m.