Triple

T15862261
Position Surface form Disambiguated ID Type / Status
Subject Will County E384617 entity
Predicate hasCity P316 FINISHED
Object Lockport E494963 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: Lockport | Statement: [Will County, hasCity, Lockport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lockport
Context triple: [Will County, hasCity, Lockport]
  • A. Lockport chosen
    Lockport is a city in Illinois that serves as a stop on Metra’s Heritage Corridor commuter rail line connecting Chicago with its southwestern suburbs.
  • B. Lockport, New York
    Lockport, New York is a small city in western New York State known for its historic canal locks and role as a key transportation hub along the Erie Canal.
  • C. Bayport
    Bayport is a small hamlet on the South Shore of Long Island in Suffolk County, New York, known for its residential character and proximity to the Great South Bay.
  • D. Bayport
    Bayport is the fictional American coastal town that serves as the home base and primary backdrop for the adventures of the Hardy Boys in the classic mystery book series.
  • E. Cheektowaga, New York
    Cheektowaga, New York is a large suburban town in Erie County near Buffalo, best known as a residential and commercial hub that includes Buffalo Niagara International Airport.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555c75688190aeae5bcf5bb92bb7 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9439db481908be2f6d8a3cfbc85 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.