Triple

T16341131
Position Surface form Disambiguated ID Type / Status
Subject Yoakum County E396805 entity
Predicate hasCity P316 FINISHED
Object Denver City, Texas E1206651 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: Denver City, Texas | Statement: [Yoakum County, hasCity, Denver City, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denver City, Texas
Context triple: [Yoakum County, hasCity, Denver City, Texas]
  • A. Denver City, Texas chosen
    Denver City, Texas is a small West Texas town in the Permian Basin known for its oil and gas industry and role as a local commercial center.
  • B. Colorado City, Texas
    Colorado City, Texas is a small West Texas community known historically for ranching, oil, and its role as a regional trade center.
  • C. Dodd City, Texas
    Dodd City, Texas is a small rural town located in Fannin County in northeastern Texas.
  • D. Coolidge, Texas
    Coolidge, Texas is a small rural town in Limestone County known for its agricultural surroundings and location in central Texas.
  • E. Park Cities, Texas
    Park Cities, Texas is an affluent, predominantly residential enclave within the Dallas–Fort Worth area, commonly referring to the neighboring municipalities of University Park and Highland Park known for their high-quality schools and upscale neighborhoods.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0ad510819082e440f5e2bceada completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dadcaa48190865cec201cde47e3 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.