Triple

T13583087
Position Surface form Disambiguated ID Type / Status
Subject OJC E324471 entity
Predicate operator P179 FINISHED
Object Johnson County unclear NED1 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: Johnson County | Statement: [OJC, operator, Johnson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnson County
Context triple: [OJC, operator, Johnson County]
  • A. Johnson County
    Johnson County is a county in eastern Iowa that includes Iowa City, home to the University of Iowa and a major regional center for education and healthcare.
  • B. Johnson County
    Johnson County is a county in north-central Texas that includes part of the Dallas–Fort Worth metropolitan area and encompasses cities such as Mansfield.
  • C. Johnson County
    Johnson County is a suburban county in central Indiana that forms part of the greater Indianapolis metropolitan region.
  • D. Johnson County
    Johnson County is a rural county in north-central Wyoming known for its ranching heritage, historic frontier conflicts, and scenic landscapes near the Bighorn Mountains.
  • E. Johnson County
    Johnson County is a county in west-central Missouri whose seat and largest city is Warrensburg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb031e8048190a5f2ea934308036c completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05c844c8190bb4b72d2400a6355 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:49 p.m.