Triple

T17966838
Position Surface form Disambiguated ID Type / Status
Subject Bidwell Parkway E449229 entity
Predicate hasCity P316 FINISHED
Object Buffalo NE NERFINISHED

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: [Bidwell Parkway, hasCity, Buffalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buffalo
Context triple: [Bidwell Parkway, hasCity, 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 rural town in northern Victoria, Australia, known for its agricultural community and location near the Campaspe River.
  • C. Rochester
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • D. Rochester
    Rochester is a small historic town in southeastern Massachusetts known for its rural character and New England charm.
  • E. Rochester
    Rochester is a major city in southeastern Minnesota known for being the home of the world-renowned Mayo Clinic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b13935908190b5269a84a3df2460 completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.