Triple

T17856119
Position Surface form Disambiguated ID Type / Status
Subject Yoakum County, Texas E445940 entity
Predicate hasTown P847 FINISHED
Object Plains, Texas 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: Plains, Texas | Statement: [Yoakum County, Texas, hasTown, Plains, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plains, Texas
Context triple: [Yoakum County, Texas, hasTown, Plains, Texas]
  • A. Plains, Texas chosen
    Plains, Texas is a small town in western Texas that serves as the administrative and economic center of Yoakum County.
  • B. Panhandle, Texas
    Panhandle, Texas is a small town in the Texas Panhandle region known for its agricultural economy and role as a local community hub.
  • C. Palo Pinto, Texas
    Palo Pinto, Texas is a small unincorporated community in North Texas that serves as the administrative and historical center of Palo Pinto County.
  • D. Prairie Lea, Texas
    Prairie Lea, Texas is a small unincorporated rural community in Caldwell County known for its historic roots in Central Texas near the San Marcos River.
  • E. Llano, Texas
    Llano, Texas is a small historic city in the Texas Hill Country known for its scenic river setting, granite outcrops, and role as the county seat of Llano County.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978bd5e081909e192f6aada5235f completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.