Triple

T12691948
Position Surface form Disambiguated ID Type / Status
Subject City of Clinton E303225 entity
Predicate hasName P744 FINISHED
Object Clinton E90463 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: Clinton | Statement: [City of Clinton, hasName, Clinton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clinton
Context triple: [City of Clinton, hasName, Clinton]
  • A. Clinton
    Clinton is a prominent American political surname most famously associated with Hillary Clinton, the former U.S. Secretary of State, senator, and First Lady.
  • B. Clinton chosen
    Clinton is a small city in eastern Tennessee that serves as the county seat of Anderson County and is part of the greater Knoxville region.
  • C. Clinton
    Clinton is a masculine given name of English origin, often shortened to "Clint" and borne by various notable figures in politics, sports, and entertainment.
  • D. Clinton
    Clinton is a small city in western Oklahoma known for its Route 66 heritage and regional agricultural and energy-based economy.
  • E. Clinton
    Clinton is a small village in British Columbia, Canada, known historically as a Cariboo Wagon Road stop and gateway to the Cariboo region.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961dbc91c8190bec50797bbd593db completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671acbd5c8190ad8d1d2f18868369 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.