Triple

T10761823
Position Surface form Disambiguated ID Type / Status
Subject Dalhart E253846 entity
Predicate namedFor P63 FINISHED
Object Dallam County E364585 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: Dallam County | Statement: [Dalhart, namedFor, Dallam County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallam County
Context triple: [Dalhart, namedFor, Dallam County]
  • A. Dallam County chosen
    Dallam County is a sparsely populated rural county in the far northwestern corner of the Texas Panhandle, known for its agricultural economy and wide-open High Plains landscape.
  • B. Reeves County
    Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
  • C. Winkler County
    Winkler County is a sparsely populated, oil-producing county in western Texas known for its desert landscape and small communities such as Kermit.
  • D. Hunt County
    Hunt County is a county in northeastern Texas that includes both rural communities and the city of Greenville as its county seat.
  • E. Nolan County
    Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a230ac8190920439076aaeb91e completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe387a261c8190a9ac11d6e4e7b29c completed May 8, 2026, 7:24 p.m.
Created at: April 8, 2026, 9:16 p.m.