Triple

T1355487
Position Surface form Disambiguated ID Type / Status
Subject Lake Texoma E28978 entity
Predicate locatedNear P294 FINISHED
Object Sherman, Texas E49072 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: Sherman, Texas | Statement: [Lake Texoma, locatedNear, Sherman, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherman, Texas
Context triple: [Lake Texoma, locatedNear, Sherman, Texas]
  • A. Sherman, Texas chosen
    Sherman, Texas is a small North Texas city and county seat of Grayson County, known for its proximity to the Red River and its role as a regional hub in the Sherman–Denison metropolitan area.
  • B. DeSoto, Texas
    DeSoto, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to Dallas.
  • C. Mission, Texas
    Mission, Texas is a city in the Rio Grande Valley in southern Texas, known for its agricultural industry and proximity to the U.S.–Mexico border.
  • D. Kaufman, Texas
    Kaufman, Texas is a small city in northeastern Texas that serves as the administrative and commercial hub of Kaufman County.
  • E. 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.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c28c8dd0819082f94c9e7c837c5f completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de5dc6e88190beda5545a2e2f84c completed March 11, 2026, 9:27 p.m.
Created at: March 1, 2026, 7:56 p.m.