Triple

T1024348
Position Surface form Disambiguated ID Type / Status
Subject Buffalo E22106 entity
Predicate partOf P40 FINISHED
Object Erie County E29828 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: Erie County | Statement: [Buffalo, partOf, Erie County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erie County
Context triple: [Buffalo, partOf, Erie County]
  • A. Erie County, New York chosen
    Erie County, New York is a populous county in western New York State that includes the city of Buffalo and several large suburbs.
  • B. Erie County, Ohio
    Erie County, Ohio is a county in northern Ohio along the shores of Lake Erie, known for including the city of Sandusky and attractions such as Cedar Point amusement park.
  • C. Monroe County
    Monroe County is a rural county in southern West Virginia known for its scenic Appalachian landscapes, agriculture, and historic small towns.
  • D. Monroe County
    Monroe County is a county in the U.S. state of Michigan located along the western shore of Lake Erie, south of Detroit.
  • E. Monroe County
    Monroe County is a large, sparsely populated county in southern Florida that includes the Florida Keys and portions of the mainland, known for its coastal ecosystems, tourism, and protected natural areas.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7e28df08190b5be7794442a6f21 completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b234e0c7b081909dfd144ef2768e18 completed March 12, 2026, 3:37 a.m.
Created at: March 1, 2026, 7:41 p.m.