Triple

T2451100
Position Surface form Disambiguated ID Type / Status
Subject Clinton E53704 entity
Predicate sharesNameWith P15168 FINISHED
Object Clinton, Iowa E218096 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, Iowa | Statement: [Clinton, sharesNameWith, Clinton, Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clinton, Iowa
Context triple: [Clinton, sharesNameWith, Clinton, Iowa]
  • A. Clinton, Iowa chosen
    Clinton, Iowa is a Mississippi River city in eastern Iowa known historically for its lumber industry and riverfront location.
  • B. Washington, Iowa
    Washington, Iowa is a small city in southeastern Iowa known for its historic downtown, agricultural surroundings, and role as a local commercial and cultural hub.
  • C. Clarence, Iowa
    Clarence, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
  • D. Columbia, Iowa
    Columbia, Iowa is a small unincorporated rural community located in Marion County in the U.S. state of Iowa.
  • E. Harlan, Iowa
    Harlan, Iowa is a small city in western Iowa that serves as the county seat of Shelby County and a local hub for the surrounding rural communities.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f402b48190b871b2475983af7e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc01d9b40819089e6a59164e64949 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:43 p.m.