Triple

T22404464
Position Surface form Disambiguated ID Type / Status
Subject Dallas metropolitan area E553845 entity
Predicate hasMajorCity P316 FINISHED
Object Prosper, Texas NE NERFINISHED

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: Prosper, Texas | Statement: [Dallas metropolitan area, hasMajorCity, Prosper, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prosper, Texas
Context triple: [Dallas metropolitan area, hasMajorCity, Prosper, Texas]
  • A. Prosper, Texas chosen
    Prosper, Texas is a fast-growing suburban town in the Dallas–Fort Worth metropolitan area known for its affluent residential communities and highly rated schools.
  • B. Proctor, Texas
    Proctor, Texas is a small rural unincorporated community located in central Texas.
  • C. Portland, Texas
    Portland, Texas is a small coastal city in South Texas located across the bay from Corpus Christi, known for its waterfront views and proximity to industrial and port facilities.
  • D. Thornton, Texas
    Thornton, Texas is a small rural town in central Texas known for its close-knit community and agricultural surroundings.
  • E. St. Paul, Texas
    St. Paul, Texas is a small incorporated town in North Texas that forms part of the fast-growing Dallas–Fort Worth metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b6762c8190991fc14c5ca8e609 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.