Triple

T1723805
Position Surface form Disambiguated ID Type / Status
Subject Irving, Texas E37451 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: [Irving, Texas, adjacentTo, Euless, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euless, Texas
Context triple: [Irving, 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. 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.
  • D. Hurst, Texas
    Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
  • E. Duncanville
    Duncanville is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635a5c8c8190b3fbf977a93838fd completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3b9a2f4819082ca2e9f838f7b9e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:30 p.m.