Triple

T797319
Position Surface form Disambiguated ID Type / Status
Subject Interstate 30 E17051 entity
Predicate passesThrough P225 FINISHED
Object Garland, Texas E98814 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: Garland, Texas | Statement: [Interstate 30, passesThrough, Garland, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garland, Texas
Context triple: [Interstate 30, passesThrough, Garland, Texas]
  • A. Garland, Texas chosen
    Garland, Texas is a large suburban city in northeastern Texas known for its diverse community, manufacturing base, and role as a major suburb of Dallas within the Dallas–Fort Worth metropolitan area.
  • B. St. Paul, Texas
    St. Paul, Texas is a small incorporated town in North Texas that forms part of the fast-growing Dallas–Fort Worth metropolitan area.
  • C. Conroe
    Conroe is a city in southeastern Texas, United States, located north of Houston and known for its rapid growth and proximity to Lake Conroe.
  • D. Richmond, Texas
    Richmond, Texas is a historic city in Fort Bend County, part of the Greater Houston metropolitan area, known for its 19th-century roots and role in early Texas history.
  • E. Grapevine, Texas
    Grapevine, Texas is a suburban city in North Texas known for its historic downtown, wineries, and proximity to Dallas/Fort Worth International Airport.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b342888190a344fe81a2c9f33c completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad467b4fe88190b5018250420755d2 completed March 8, 2026, 9:50 a.m.
Created at: March 1, 2026, 7:38 p.m.