Triple

T16078295
Position Surface form Disambiguated ID Type / Status
Subject Lynn County E390031 entity
Predicate borders P224 FINISHED
Object Dawson County E260594 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: Dawson County | Statement: [Lynn County, borders, Dawson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dawson County
Context triple: [Lynn County, borders, Dawson County]
  • A. Dawson County
    Dawson County is a county in north-central Georgia, United States, known for its location in the Appalachian foothills and proximity to outdoor recreation areas such as Amicalola Falls State Park.
  • B. Dawson County chosen
    Dawson County is a rural county in the western part of Texas known for its agriculture and oil production.
  • C. Chaffee County
    Chaffee County is a mountainous county in central Colorado known for its Arkansas River valley, outdoor recreation, and historic mining towns like Buena Vista and Salida.
  • D. Custer County
    Custer County is a rural county in south-central Colorado known for its scenic Wet Mountain Valley, ranching heritage, and outdoor recreation opportunities in the surrounding Wet Mountains and Sangre de Cristo Range.
  • E. Custer County
    Custer County is a largely rural county in central Nebraska known for its agricultural landscape and small communities.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c401a881908fcb0b753d2dfc8a completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48907148190ab04520717141788 completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.