Triple

T22089487
Position Surface form Disambiguated ID Type / Status
Subject Knighthawks E545874 entity
Predicate homeCity P263 FINISHED
Object Rochester
Rochester is a city in western New York State known for its industrial history, universities, and cultural institutions.
 E22338 NE FINISHED

How this triple was built (4 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 | Statement: [Knighthawks, homeCity, Rochester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rochester
Context triple: [Knighthawks, homeCity, Rochester]
  • A. Rochester
    Rochester is a rural town in northern Victoria, Australia, known for its agricultural community and location near the Campaspe 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 borough in western Pennsylvania situated along the Ohio River in Beaver County.
  • D. Rochester
    Rochester is a small village located in Lorain County in the U.S. state of Ohio.
  • E. Rochester
    Rochester is a small city in northern Indiana that serves as the administrative and commercial hub of Fulton County.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rochester
Triple: [Knighthawks, homeCity, Rochester]
Generated description
Rochester is a city in western New York State known for its industrial history, universities, and cultural institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rochester
Target entity description: Rochester is a city in western New York State known for its industrial history, universities, and cultural institutions.
  • A. Rochester chosen
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • B. Rochester
    Rochester is a major city in southeastern Minnesota known for being the home of the world-renowned Mayo Clinic.
  • C. Rochester
    Rochester is a small village located in Lorain County in the U.S. state of Ohio.
  • D. Rochester
    Rochester is a small city in northern Indiana that serves as the administrative and commercial hub of Fulton County.
  • E. Rochester
    Rochester is a small historic town in southeastern Massachusetts known for its rural character and New England charm.
  • F. None of above.

Provenance (5 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e47ba08190a208af72a7cc176f completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9eae83c88190aec83c9a4065efa1 completed May 18, 2026, 5:07 a.m.
NEDg Description generation batch_6a0a9f5a0a2c8190b0a8a4c56938cc02 completed May 18, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa01988b481909fe3bf966feb5916 completed May 18, 2026, 5:14 a.m.
Created at: April 16, 2026, 8:29 p.m.