Triple

T13623088
Position Surface form Disambiguated ID Type / Status
Subject Marcus High School E325505 entity
Predicate city P40 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: [Marcus High School, city, Flower Mound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flower Mound
Context triple: [Marcus High School, city, 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9b0b648190afee93121483f45f completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942e8c9c8190ab843cc4c31f512a completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:50 p.m.