Triple

T13577628
Position Surface form Disambiguated ID Type / Status
Subject Sanger Independent School District E324328 entity
Predicate servesCity P82 FINISHED
Object Sanger, Texas E485012 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: Sanger, Texas | Statement: [Sanger Independent School District, servesCity, Sanger, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanger, Texas
Context triple: [Sanger Independent School District, servesCity, Sanger, Texas]
  • A. Sanger, Texas chosen
    Sanger, Texas is a small city in Denton County known for its rural character and proximity to outdoor recreation at Ray Roberts Lake.
  • B. 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.
  • C. 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.
  • D. Sachse, Texas
    Sachse, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to major North Texas employment and retail centers.
  • E. Saginaw, Texas
    Saginaw, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its strong railroad heritage and grain elevator industry.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02de1988190af2d473973ecd529 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b2fc8f88190b9bd2887149e3d68 completed May 10, 2026, 11:56 p.m.
Created at: April 9, 2026, 9:48 p.m.