Triple

T6693596
Position Surface form Disambiguated ID Type / Status
Subject Dallas urban area E152689 entity
Predicate hasSuburb P747 FINISHED
Object Flower Mound E79565 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: Flower Mound | Statement: [Dallas urban area, hasSuburb, Flower Mound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flower Mound
Context triple: [Dallas urban area, hasSuburb, Flower Mound]
  • A. Flower Mound, Texas chosen
    Flower Mound, Texas is a suburban town in North Texas known for its family-friendly neighborhoods, strong schools, and proximity to both Dallas and Fort Worth.
  • B. Farmers Branch
    Farmers Branch is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential neighborhoods, parks, and proximity to Dallas.
  • C. North Richland Hills, Texas
    North Richland Hills, Texas is a suburban city in Tarrant County known as a major residential and commercial community within the Dallas–Fort Worth metropolitan area.
  • D. Rowlett
    Rowlett is a suburban city in the Dallas–Fort Worth metropolitan area of Texas, known for its location along Lake Ray Hubbard and family-oriented residential communities.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b1955e448190adbfed7dc28f8c52 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad6644f4819080db0a3981470d96 completed March 28, 2026, 10:28 a.m.
Created at: March 27, 2026, 2:05 p.m.