Triple

T18361877
Position Surface form Disambiguated ID Type / Status
Subject Freeport station E439937 entity
Predicate locatedIn P40 FINISHED
Object Freeport, New York 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: Freeport, New York | Statement: [Freeport station, locatedIn, Freeport, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freeport, New York
Context triple: [Freeport station, locatedIn, Freeport, New York]
  • A. Freeport
    Freeport is a major Bahamian city on Grand Bahama known as a free-trade zone and popular tourist and commercial hub.
  • B. Freeport
    Freeport is a small city in northern Illinois known as the county seat of Stephenson County and for its historic role in the Lincoln–Douglas debates.
  • C. Freeport
    Freeport is a small borough in western Pennsylvania known for its location along the Allegheny River and its historic role as a regional transportation and industrial hub.
  • D. Freeport
    Freeport is an unincorporated community located in Winneshiek County in the northeastern part of the U.S. state of Iowa.
  • E. Freeport chosen
    Freeport is a waterfront village on Long Island in New York known for its marinas, fishing industry, and nautical tourism.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516dbd4748190a6c5715ef943bd4a completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.