Triple

T8849537
Position Surface form Disambiguated ID Type / Status
Subject Weber River E210601 entity
Predicate flowsThrough P225 FINISHED
Object Morgan County E322434 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: Morgan County | Statement: [Weber River, flowsThrough, Morgan County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan County
Context triple: [Weber River, flowsThrough, 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 chosen
    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 county in central Indiana, United States, that forms part of the greater Indianapolis metropolitan region.
  • 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. Marshall County
    Marshall County is a centrally located county in the U.S. state of Iowa, known for its agricultural landscape and the city of Marshalltown as its county seat.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60abb0748190af41d4e1f419e39c completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0772ba2808190b8b7948a09b8dee5 completed April 4, 2026, 2:27 a.m.
Created at: March 30, 2026, 6:49 p.m.