Triple

T20276373
Position Surface form Disambiguated ID Type / Status
Subject Webster County government E503026 entity
Predicate jurisdiction P82 FINISHED
Object Webster 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: Webster County | Statement: [Webster County government, jurisdiction, Webster County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Webster County
Context triple: [Webster County government, jurisdiction, Webster County]
  • A. Webster County chosen
    Webster County is a rural county in central West Virginia known for its mountainous terrain, outdoor recreation opportunities, and small, close-knit communities.
  • B. Webster County
    Webster County is a rural county in southwestern Georgia known for its small population, agricultural landscape, and location within the state’s historic Black Belt region.
  • C. Chase County
    Chase County is a rural county in east-central Kansas known for its tallgrass prairie landscapes within the Flint Hills region.
  • D. Bollinger County
    Bollinger County is a rural county in southeastern Missouri known for its rolling hills, forests, and small farming communities.
  • E. Guthrie County
    Guthrie County is a rural county in the U.S. state of Iowa known for its agricultural landscape and small communities west of Des Moines.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e3df68819096fb859bc92a0da1 completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:32 a.m.