Triple

T1035814
Position Surface form Disambiguated ID Type / Status
Subject Irving E22358 entity
Predicate adjacentTo P224 FINISHED
Object Euless 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 | Statement: [Irving, adjacentTo, Euless]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euless
Context triple: [Irving, adjacentTo, Euless]
  • 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. Duncanville
    Duncanville is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas.
  • C. Grand Prairie
    Grand Prairie is a mid-sized suburban city in the Dallas–Fort Worth metropolitan area known for its family attractions, parks, and growing residential communities.
  • D. Corsicana
    Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
  • E. Balch Springs
    Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b816272c8190a12e470c4d4ebcf9 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab2f888819093d2b3e49b105802 completed March 8, 2026, 9:31 p.m.
Created at: March 1, 2026, 7:41 p.m.