Triple

T18070097
Position Surface form Disambiguated ID Type / Status
Subject Falls County E432401 entity
Predicate containsSettlement P847 FINISHED
Object Satin, 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: Satin, Texas | Statement: [Falls County, containsSettlement, Satin, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satin, Texas
Context triple: [Falls County, containsSettlement, Satin, Texas]
  • A. Satin, Texas chosen
    Satin, Texas is a small unincorporated rural community located in central Texas within Falls County.
  • B. Sanger, Texas
    Sanger, Texas is a small city in Denton County known for its rural character and proximity to outdoor recreation at Ray Roberts Lake.
  • C. Santo, Texas
    Santo, Texas is a small rural community in North Texas known for its ranching, agriculture, and proximity to the Brazos River.
  • D. Sinton, Texas
    Sinton, Texas is a small city in San Patricio County that serves as part of the Coastal Bend region near the Texas Gulf Coast.
  • E. Sanderson, Texas
    Sanderson, Texas is a small unincorporated community and county seat of Terrell County in West Texas, known as a remote desert town along major highways and railroad lines.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cced29fc81908e87b4f1990fa0d8 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.