Triple

T8401295
Position Surface form Disambiguated ID Type / Status
Subject Hurst, Texas E198376 entity
Predicate adjacentTo P224 FINISHED
Object Euless, Texas E111319 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: Euless, Texas | Statement: [Hurst, Texas, adjacentTo, Euless, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euless, Texas
Context triple: [Hurst, Texas, adjacentTo, 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. Aledo, Texas
    Aledo, Texas is a small suburban city in North Texas known for its strong public schools, rapid residential growth, and proximity to Fort Worth.
  • E. Everman, Texas
    Everman, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known for its residential character and proximity to Fort Worth.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb824da3148190bfa3a1abfdfa02de completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde8789a608190a3503f544a19d204 completed April 2, 2026, 3:54 a.m.
Created at: March 30, 2026, 6:04 p.m.