Triple

T16719557
Position Surface form Disambiguated ID Type / Status
Subject Canisius Golden Griffins men's ice hockey E406310 entity
Predicate city P40 FINISHED
Object 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: Buffalo | Statement: [Canisius Golden Griffins men's ice hockey, city, Buffalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buffalo
Context triple: [Canisius Golden Griffins men's ice hockey, city, 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. 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.
  • C. Rochester
    Rochester is a small village located in Lorain County in the U.S. state of Ohio.
  • 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 given name that can refer to various individuals, including Rochester Van Jones.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865855108190bf8767b7b6c5fa10 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b27fbce0819084852678798f264e completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:20 a.m.