Triple

T14968908
Position Surface form Disambiguated ID Type / Status
Subject Fort Bend County, Texas E373264 entity
Predicate contains P35 FINISHED
Object Stafford, Texas E312220 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: Stafford, Texas | Statement: [Fort Bend County, Texas, contains, Stafford, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stafford, Texas
Context triple: [Fort Bend County, Texas, contains, Stafford, Texas]
  • A. Stafford, Texas chosen
    Stafford, Texas is a small suburban city in Fort Bend and Harris counties known for its proximity to Houston and its unique absence of a municipal property tax.
  • B. Stinnett, Texas
    Stinnett, Texas is a small city in the Texas Panhandle that serves as an administrative and service hub for the surrounding rural area.
  • C. Stanton, Texas
    Stanton, Texas is a small West Texas city that serves as the administrative and commercial hub of Martin County.
  • D. Hempstead, Texas
    Hempstead, Texas is a small city in Waller County known as a gateway between the Houston metropolitan area and Central Texas.
  • E. Van Alstyne, Texas
    Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e44cb0819096e09f8026ef8174 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be4b0a88190989022108a58370d completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:49 a.m.