Triple

T13719987
Position Surface form Disambiguated ID Type / Status
Subject Teterboro station E329003 entity
Predicate town P3385 FINISHED
Object Teterboro E641185 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: Teterboro | Statement: [Teterboro station, town, Teterboro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teterboro
Context triple: [Teterboro station, town, Teterboro]
  • A. Teterboro, New Jersey chosen
    Teterboro, New Jersey is a small borough in Bergen County best known for hosting Teterboro Airport, a major hub for general aviation and private jets serving the New York City metropolitan area.
  • B. Teterboro Airport
    Teterboro Airport is a major general aviation and corporate jet airport located in New Jersey, serving the New York City metropolitan area.
  • C. White Plains
    White Plains is a commercial and administrative hub in Westchester County, New York, known for its corporate offices, shopping centers, and role as a key suburban city north of New York City.
  • D. Bethpage, New York
    Bethpage, New York is a suburban hamlet on Long Island known for its residential communities, corporate offices, and proximity to major transportation routes.
  • E. Fort Lee
    Fort Lee is a major U.S. Army installation in Virginia that has historically served as a key center for logistics, sustainment, and support training.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0676e50819085fe48f86c0f93d8 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:55 p.m.