Triple

T6693612
Position Surface form Disambiguated ID Type / Status
Subject Dallas urban area E152689 entity
Predicate hasSuburb P747 FINISHED
Object Burleson E445812 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: Burleson | Statement: [Dallas urban area, hasSuburb, Burleson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burleson
Context triple: [Dallas urban area, hasSuburb, Burleson]
  • A. Burleson, Texas chosen
    Burleson, Texas is a growing suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and proximity to Fort Worth.
  • B. Corryton
    Corryton is an unincorporated community in northeastern Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • C. Braswell
    Braswell is the codename for an Intel low-power system-on-chip platform designed primarily for entry-level desktops and laptops.
  • D. Seagoville
    Seagoville is a small city in North Texas that functions as a suburban community within the greater Dallas–Fort Worth metropolitan area.
  • E. Burlada
    Burlada is a municipality in northern Spain, located in the autonomous community of Navarre and forming part of the metropolitan area of Pamplona.
  • 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_69c8b4d712008190aa25340e1feb0804 completed March 29, 2026, 5:12 a.m.
Created at: March 27, 2026, 2:05 p.m.