Triple

T13234966
Position Surface form Disambiguated ID Type / Status
Subject Fulton, Illinois E315119 entity
Predicate locatedOpposite P3232 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: [Fulton, Illinois, locatedOpposite, Clinton, Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clinton, Iowa
Context triple: [Fulton, Illinois, locatedOpposite, 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. Hamlin, Iowa
    Hamlin, Iowa is a small unincorporated rural community located in Audubon County in western Iowa.
  • D. Grant, Iowa
    Grant, Iowa is a small rural city located in Montgomery County in the southwestern part of the state.
  • E. Clarence, Iowa
    Clarence, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d36bdf8819099949b1e0e6902d3 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a35ccc88190881a7066b7af8fea completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:22 p.m.