Triple

T4015385
Position Surface form Disambiguated ID Type / Status
Subject Lucas County, Iowa E90743 entity
Predicate hasCity P316 FINISHED
Object Chariton, Iowa E405756 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: Chariton, Iowa | Statement: [Lucas County, Iowa, hasCity, Chariton, Iowa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chariton, Iowa
Context triple: [Lucas County, Iowa, hasCity, Chariton, Iowa]
  • A. Chariton, Iowa chosen
    Chariton, Iowa is a small city in south-central Iowa that serves as the administrative and commercial hub of Lucas County.
  • B. Charlotte, Iowa
    Charlotte, Iowa is a small rural city in eastern Iowa known for its close-knit community and agricultural surroundings.
  • C. Charles City, Iowa
    Charles City, Iowa is a small northeastern Iowa community known for its historic role in tractor manufacturing and its location along the Cedar River.
  • D. Cherokee, Iowa
    Cherokee, Iowa is a small city in the northwestern part of the state known for its historic downtown and role as a local agricultural and cultural center.
  • E. Chester, Iowa
    Chester, Iowa is a small rural community located in Howard County near the Minnesota border.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa5afdc8190b709af2473d75d02 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556295aa081908e803233b986fec9 completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:35 p.m.