Triple

T8087358
Position Surface form Disambiguated ID Type / Status
Subject Al Golden E188765 entity
Predicate coachedInCity P33625 FINISHED
Object Cincinnati E53180 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: Cincinnati | Statement: [Al Golden, coachedInCity, Cincinnati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cincinnati
Context triple: [Al Golden, coachedInCity, Cincinnati]
  • A. Cincinnati chosen
    Cincinnati is a major city in southwestern Ohio, known for its historic architecture, riverfront location on the Ohio River, and role as a regional economic and cultural center.
  • B. Cleveland
    Cleveland is a common English surname most prominently associated with Grover Cleveland, the 22nd and 24th president of the United States.
  • C. Cleveland
    Cleveland is a major city in the U.S. state of Ohio, known for its industrial history, cultural institutions like the Rock and Roll Hall of Fame, and its location on the southern shore of Lake Erie.
  • D. Cleveland
    Cleveland is a small city in northeastern Georgia known as a gateway to the Appalachian Mountains and nearby gold-mining and outdoor recreation areas.
  • E. Columbus
    Columbus is a common Italian-origin surname most famously associated with the explorer Christopher Columbus and his descendants.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4162244481908ab1202a9974deaa completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf9fc6bff48190b2f73e4c8c8b627a completed April 3, 2026, 11:08 a.m.
Created at: March 30, 2026, 5:29 p.m.