Triple

T4990218
Position Surface form Disambiguated ID Type / Status
Subject Crestview High School E112110 entity
Predicate city P40 FINISHED
Object Crestview E389980 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: Crestview | Statement: [Crestview High School, city, Crestview]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crestview
Context triple: [Crestview High School, city, Crestview]
  • A. Crestview chosen
    Crestview is a small city in the Florida Panhandle known as a regional hub for transportation and services in Okaloosa County.
  • B. Crestwood
    Crestwood is a residential neighborhood in Washington, D.C., known for its leafy streets, single-family homes, and proximity to Rock Creek Park.
  • C. Orange Grove
    Orange Grove is a historic public square in the city of Bath, England, known for its Georgian architecture and proximity to major landmarks like Bath Abbey.
  • D. Crestline
    Crestline is a small mountain community and popular lakeside getaway located in Southern California’s San Bernardino Mountains.
  • E. Walton Hills
    Walton Hills is a small suburban village in northeastern Ohio known for its residential character and proximity to the Cleveland metropolitan area.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd727fe55881909d42e41b832b9ece completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a282dd08190a29b92e8e825a3bb completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.