Triple

T11953176
Position Surface form Disambiguated ID Type / Status
Subject Will Rogers Boulevard E284478 entity
Predicate city P40 FINISHED
Object Claremore E247540 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: Claremore | Statement: [Will Rogers Boulevard, city, Claremore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claremore
Context triple: [Will Rogers Boulevard, city, Claremore]
  • A. Claremore, Oklahoma chosen
    Claremore, Oklahoma is a small city in northeastern Oklahoma known as the hometown of humorist Will Rogers and a regional center for history and culture.
  • B. Lawton
    Lawton is a masculine given name most notably associated with American politician and former Florida governor Lawton Chiles.
  • C. Lawton
    Lawton is a mid-sized city in southwestern Oklahoma known as a regional economic and cultural center near Fort Sill and the Wichita Mountains.
  • D. Lawton
    Lawton is a residential neighborhood in Havana, Cuba, known for its traditional urban character within the Diez de Octubre municipality.
  • E. Inola, Oklahoma
    Inola, Oklahoma is a small town in northeastern Oklahoma known for its rural character and proximity to the Tulsa 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90365da288190a132703df563de23 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471c931a88190a9d29262c62b9472 completed May 1, 2026, 9:26 a.m.
Created at: April 8, 2026, 9:45 p.m.