Triple

T23066742
Position Surface form Disambiguated ID Type / Status
Subject Hall, Indiana E575061 entity
Predicate hasCountySubdivision P747 FINISHED
Object Morgan County NE NERFINISHED

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: Morgan County | Statement: [Hall, Indiana, hasCountySubdivision, Morgan County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan County
Context triple: [Hall, Indiana, hasCountySubdivision, Morgan County]
  • A. Morgan County
    Morgan County is a county in northern Alabama known for its seat in Decatur and its role in the Huntsville-Decatur metropolitan area.
  • B. Morgan County
    Morgan County is a rural county in northern Utah known for its mountainous terrain, outdoor recreation, and small-town communities northeast of Salt Lake City.
  • C. Morgan County
    Morgan County is a rural county in the Eastern Panhandle of West Virginia, known for its mountainous terrain, outdoor recreation, and small-town communities.
  • D. Morgan County
    Morgan County is a rural county in northeastern Colorado known for its agricultural economy and small communities centered around the city of Fort Morgan.
  • E. Morgan County chosen
    Morgan County is a county in central Indiana, United States, that forms part of the greater Indianapolis metropolitan region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a4e2fc81909704333306737f80 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.