Triple

T16293808
Position Surface form Disambiguated ID Type / Status
Subject G. Brint Ryan College of Business E395591 entity
Predicate city P40 FINISHED
Object Denton E109507 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: Denton | Statement: [G. Brint Ryan College of Business, city, Denton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denton
Context triple: [G. Brint Ryan College of Business, city, Denton]
  • A. Denton
    Denton is a town in Tameside, Greater Manchester, England, historically known for its hat-making industry and later as a residential and light industrial area near Manchester.
  • B. Denton
    Denton is the given first name of legendary Major League Baseball pitcher Cy Young, the all-time leader in career wins.
  • C. Denton, Texas chosen
    Denton, Texas is a rapidly growing North Texas city known for its vibrant music scene, historic downtown square, and major universities including the University of North Texas and Texas Woman’s University.
  • D. Lubbock
    Lubbock is a major city in northwest Texas known for its role as an agricultural, educational, and economic hub of the region.
  • E. 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.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2c255881909d99c43770475329 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bafe159c8190b66d2cd21b8ddb88 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:05 a.m.