Triple

T12238246
Position Surface form Disambiguated ID Type / Status
Subject Cleveland County E291656 entity
Predicate hasJurisdiction P285 FINISHED
Object Noble E970893 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: Noble | Statement: [Cleveland County, hasJurisdiction, Noble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noble
Context triple: [Cleveland County, hasJurisdiction, Noble]
  • A. Noble
    Noble is a surname of English origin historically associated with social rank and often borne by families of distinction.
  • B. Noble chosen
    Noble is a small city in Cleveland County, Oklahoma, known for its close-knit community and proximity to the Oklahoma City metropolitan area.
  • C. Noble
    Noble is an unincorporated community and residential area within Abington Township in Montgomery County, Pennsylvania.
  • D. Regal
    Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • E. Nobilior
    Nobilior is the cognomen of the Roman statesman and general Marcus Fulvius Nobilior, noted for his military campaigns and cultural patronage during the Roman Republic.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb45340819093365f8efdf85f75 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5ff68c81909d2796b24dd055f4 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.