Triple

T14572460
Position Surface form Disambiguated ID Type / Status
Subject Lackawanna, New York E341950 entity
Predicate borderedBy P224 FINISHED
Object City of Buffalo 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: City of Buffalo | Statement: [Lackawanna, New York, borderedBy, City of Buffalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Buffalo
Context triple: [Lackawanna, New York, borderedBy, City of Buffalo]
  • 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. 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.
  • D. Rochester
    Rochester is a rural town in northern Victoria, Australia, known for its agricultural community and location near the Campaspe River.
  • E. Rochester
    Rochester is a historic cathedral city and former market town in Kent, England, known for its Norman castle, Romanesque cathedral, and strong associations with the novelist Charles Dickens.
  • 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_69fde16830c0819090a97b073c8e642d completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:24 a.m.