Triple

T7456444
Position Surface form Disambiguated ID Type / Status
Subject Garland Independent School District E172135 entity
Predicate servesCity P82 FINISHED
Object Sachse, Texas E308263 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: Sachse, Texas | Statement: [Garland Independent School District, servesCity, Sachse, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sachse, Texas
Context triple: [Garland Independent School District, servesCity, Sachse, Texas]
  • A. Sachse, Texas chosen
    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.
  • 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. 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.
  • D. Savoy, Texas
    Savoy, Texas is a small rural city in North Texas known for its close-knit community and location near the Oklahoma border.
  • E. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3b0780881909e645160dd49eb57 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9567fd22881909bd8f4972144be22 completed March 29, 2026, 4:42 p.m.
Created at: March 27, 2026, 3:15 p.m.