Triple

T14572747
Position Surface form Disambiguated ID Type / Status
Subject Lee County, Florida E341959 entity
Predicate hasAirport P105 FINISHED
Object Page Field E923824 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: Page Field | Statement: [Lee County, Florida, hasAirport, Page Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Page Field
Context triple: [Lee County, Florida, hasAirport, Page Field]
  • A. Page Field chosen
    Page Field is a public airport in Fort Myers, Florida, serving general aviation and regional air traffic in Lee County.
  • B. Page
    Page is an Australian federal electoral division in New South Wales, named after former Prime Minister Sir Earle Page and encompassing a largely regional and rural area.
  • C. Page
    Page is a common English surname borne by numerous notable individuals across fields such as technology, entertainment, and politics.
  • D. Page
    Page is a character in William Shakespeare’s comedy "The Merry Wives of Windsor," depicted as a respectable middle-class husband in the town of Windsor.
  • E. Story Field
    Story Field is a baseball stadium in Longview, Washington, best known as the home field of the Cowlitz Black Bears of the West Coast League.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f33b1c8190bb447788bfd28d51 completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aca591081908db149ec517a999b completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.