Triple

T5865959
Position Surface form Disambiguated ID Type / Status
Subject Rochester War Memorial E130392 entity
Predicate operator P179 FINISHED
Object City of Rochester E22338 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 Rochester | Statement: [Rochester War Memorial, operator, City of Rochester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: City of Rochester
Context triple: [Rochester War Memorial, operator, City of Rochester]
  • A. Rochester
    Rochester is a small borough in western Pennsylvania situated along the Ohio River in Beaver County.
  • 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 chosen
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • E. Rochester
    Rochester is a small historic town in southeastern Massachusetts known for its rural character and New England charm.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035bfa8188190ab0e28101fdf5e6f completed March 22, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b10fe5908190977d1802258f9f13 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:56 p.m.