Triple

T11758317
Position Surface form Disambiguated ID Type / Status
Subject Fort Erie, Ontario E279587 entity
Predicate locatedOpposite P3232 FINISHED
Object Buffalo, New York E22106 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: Buffalo, New York | Statement: [Fort Erie, Ontario, locatedOpposite, Buffalo, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buffalo, New York
Context triple: [Fort Erie, Ontario, locatedOpposite, Buffalo, New York]
  • A. Buffalo chosen
    Buffalo is a major city in western New York State known for its industrial history, proximity to Niagara Falls, and namesake Buffalo-style chicken wings.
  • B. Hamilton, New York
    Hamilton, New York is a small village in Madison County best known as the home of Colgate University.
  • C. Rochester, New York
    Rochester, New York is a major city in western New York State known for its industrial history, universities, and cultural institutions along the Genesee River.
  • D. Jackson, New York
    Jackson, New York is a small rural town in Washington County known for its agricultural landscape and historic countryside in eastern upstate New York.
  • E. Canton, New York
    Canton, New York is a small village in St. Lawrence County that serves as the county seat and home to St. Lawrence University and SUNY Canton in the state's North Country region.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a5220f148190ae60d1941a579ab6 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f018963218819097771032a88688af completed April 28, 2026, 2:16 a.m.
Created at: April 8, 2026, 9:41 p.m.