Triple

T13533299
Position Surface form Disambiguated ID Type / Status
Subject Harrison County, Texas E323190 entity
Predicate contains P35 FINISHED
Object Waskom, Texas E847983 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: Waskom, Texas | Statement: [Harrison County, Texas, contains, Waskom, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waskom, Texas
Context triple: [Harrison County, Texas, contains, Waskom, Texas]
  • A. Waskom, Texas chosen
    Waskom, Texas is a small city in eastern Texas near the Louisiana border, known as a gateway community along Interstate 20.
  • B. Weches, Texas
    Weches, Texas is a small unincorporated community in East Texas known for its rural character and proximity to historic Caddo Mounds State Historic Site.
  • C. Wilmer, Texas
    Wilmer, Texas is a small city in Dallas County that forms part of the southern Dallas–Fort Worth metropolitan area.
  • D. Wildorado, Texas
    Wildorado, Texas is a small unincorporated rural community in the Texas Panhandle, located west of Amarillo along Interstate 40.
  • E. Cottonwood, Texas
    Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbb34548190a6b44faa48125cd4 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d980cac8190a7f7fda56abda361 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.