Triple

T21789433
Position Surface form Disambiguated ID Type / Status
Subject municipal government of Pasco E537930 entity
Predicate jurisdiction P82 FINISHED
Object city of Pasco NE NERFINISHED

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: city of Pasco | Statement: [municipal government of Pasco, jurisdiction, city of Pasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Pasco
Context triple: [municipal government of Pasco, jurisdiction, city of Pasco]
  • A. Pasco
    Pasco is a city in southeastern Washington State that forms part of the Tri-Cities region along with Kennewick and Richland.
  • B. Pasco
    Pasco is a station on Buenos Aires’ historic Line A subway, serving the Balvanera neighborhood in Argentina’s capital.
  • C. Pasco, Washington chosen
    Pasco, Washington is a city in southeastern Washington State that forms part of the Tri-Cities region and serves as a key agricultural, transportation, and commercial hub along the Columbia River.
  • D. PASCO
    PASCO is the radio callsign used by Pacific Coastal Airlines, a Canadian regional carrier operating scheduled and charter flights primarily within British Columbia.
  • E. Orange City
    Orange City is a small municipality in central Florida known for its historic charm and proximity to natural springs and outdoor recreation areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621ed2b481909e3df17aee9cd8f7 completed April 28, 2026, 7:30 a.m.
Created at: April 16, 2026, 6:52 p.m.