Triple

T14968913
Position Surface form Disambiguated ID Type / Status
Subject Fort Bend County, Texas E373264 entity
Predicate contains P35 FINISHED
Object Arcola, Texas E1129653 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: Arcola, Texas | Statement: [Fort Bend County, Texas, contains, Arcola, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arcola, Texas
Context triple: [Fort Bend County, Texas, contains, Arcola, Texas]
  • A. Arcola, Texas chosen
    Arcola, Texas is a small city in Fort Bend County within the Greater Houston metropolitan area.
  • B. Alvarado, Texas
    Alvarado, Texas is a small historic city in North Texas known as the oldest city in Johnson County and part of the Dallas–Fort Worth metropolitan area.
  • C. Colfax, Texas
    Colfax, Texas is a small unincorporated rural community located in Van Zandt County in East Texas.
  • D. Velasco, Texas
    Velasco, Texas was a historic Gulf Coast port town that played a key role in early Texas history, including as the site where treaties ending the Texas Revolution were signed.
  • E. La Joya, Texas
    La Joya, Texas is a small city in South Texas near the U.S.–Mexico border, known for its proximity to the Rio Grande and its role in the greater McAllen–Edinburg–Mission metropolitan region.
  • 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_69feef603b788190ad747d73af2363d4 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 2:49 a.m.