Triple

T14264026
Position Surface form Disambiguated ID Type / Status
Subject SERVEL E353597 entity
Predicate abbreviation P43 FINISHED
Object SERVEL E353597 NE 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: SERVEL | Statement: [SERVEL, abbreviation, SERVEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SERVEL
Context triple: [SERVEL, abbreviation, SERVEL]
  • A. SERVEL chosen
    SERVEL is Chile's independent electoral service responsible for organizing and overseeing the country’s elections and maintaining its electoral registry.
  • B. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • C. Dunnigan
    Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
  • D. Imbera
    Imbera is a commercial refrigeration company known for manufacturing and supplying coolers and related equipment, operating as a subsidiary of the Mexican multinational FEMSA.
  • E. Comelico
    Comelico is a mountainous area in the northeastern Italian Alps, known for its scenic valleys, traditional Ladin culture, and winter sports tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326367348190b4b31b32f4ca5639 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.