Triple

T12253246
Position Surface form Disambiguated ID Type / Status
Subject Farmington High School E292027 entity
Predicate hasAddressLocality P7943 FINISHED
Object Farmington unclear NED1 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: Farmington | Statement: [Farmington High School, hasAddressLocality, Farmington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farmington
Context triple: [Farmington High School, hasAddressLocality, Farmington]
  • A. Farmington
    Farmington is a small unincorporated community in San Joaquin County, California, situated in the state’s Central Valley.
  • B. Farmington
    Farmington is a small city in Davis County, Utah, known as a suburban community between Salt Lake City and Ogden and as the home of the Lagoon amusement park.
  • C. Farmington
    Farmington is a city in northwestern New Mexico known as a regional hub for energy production and outdoor recreation near the Four Corners area.
  • D. Marford
    Marford is a village in Wrexham County Borough, Wales, known for its distinctive Gothic-style architecture and historic character.
  • E. Farmington, Connecticut
    Farmington, Connecticut is a suburban town in central Connecticut known for its affluent residential character, historic New England charm, and role as a base for major corporate and educational institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc849308190b6ff416f8b4f01e8 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a921b8c8190b3f899b03575b194 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.