Triple

T6407265
Position Surface form Disambiguated ID Type / Status
Subject Wylie, Texas E127615 entity
Predicate locatedNear P294 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: [Wylie, Texas, locatedNear, Garland, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garland, Texas
Context triple: [Wylie, Texas, locatedNear, 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. Gainesville, Texas
    Gainesville, Texas is a small North Texas city near the Oklahoma border known as the county seat of Cooke County and a regional hub within the Texoma area.
  • C. Grandview, Texas
    Grandview, Texas is a small rural city in North Texas known for its tight-knit community and strong agricultural roots.
  • D. Gonzales, Texas
    Gonzales, Texas is a historic town best known as the site of the first battle of the Texas Revolution and the origin of the famous "Come and Take It" slogan.
  • E. Groves, Texas
    Groves, Texas is a small city in Jefferson County in Southeast Texas, known as part of the industrial and petrochemical region near Port Arthur and Beaumont.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068b3541c8190be89b24b313d7300 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad6002b48190a3c95b704e700c56 completed March 28, 2026, 10:28 a.m.
Created at: March 22, 2026, 4:41 p.m.