Triple

T11941590
Position Surface form Disambiguated ID Type / Status
Subject EK E284190 entity
Predicate associatedCompanyHeadquarters P62 FINISHED
Object Rochester, New York E689505 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: Rochester, New York | Statement: [EK, associatedCompanyHeadquarters, Rochester, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rochester, New York
Context triple: [EK, associatedCompanyHeadquarters, Rochester, New York]
  • A. Rochester, New York chosen
    Rochester, New York is a major city in western New York State known for its industrial history, universities, and cultural institutions along the Genesee River.
  • 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 small borough in western Pennsylvania situated along the Ohio River in Beaver County.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90342bb908190a019ac91a2b82f3d completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f45825e9ac8190ad13d4b4e0208d20 completed May 1, 2026, 7:37 a.m.
Created at: April 8, 2026, 9:45 p.m.