Triple

T19390227
Position Surface form Disambiguated ID Type / Status
Subject Midway Park E485045 entity
Predicate locatedIn P40 FINISHED
Object Euless, Texas NE NERFINISHED

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: Euless, Texas | Statement: [Midway Park, locatedIn, Euless, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euless, Texas
Context triple: [Midway Park, locatedIn, Euless, Texas]
  • A. Euless, Texas chosen
    Euless, Texas is a suburban city in Tarrant County that forms part of the Mid-Cities region between Dallas and Fort Worth.
  • B. Little Elm, Texas
    Little Elm, Texas is a rapidly growing suburban town in the Dallas–Fort Worth metroplex known for its extensive shoreline along Lewisville Lake and family-oriented community.
  • C. Eustace, Texas
    Eustace, Texas is a small rural city located in Henderson County in East Texas.
  • D. Turnersville, Texas
    Turnersville, Texas is a small unincorporated rural community located in central Texas within Coryell County.
  • E. Fulshear, Texas
    Fulshear, Texas is a rapidly growing suburban city in the Greater Houston metropolitan area known for its master-planned communities and semi-rural character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b4328448190b6347c41265e820c completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.