Triple

T8801779
Position Surface form Disambiguated ID Type / Status
Subject Oral Roberts University E209425 entity
Predicate city P40 FINISHED
Object Tulsa E185942 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: Tulsa | Statement: [Oral Roberts University, city, Tulsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulsa
Context triple: [Oral Roberts University, city, Tulsa]
  • A. Tulsa chosen
    Tulsa is a major city in northeastern Oklahoma known for its historic oil industry, distinctive Art Deco architecture, and vibrant arts and cultural scene.
  • B. Oklahoma City
    Oklahoma City is the capital and largest city of the U.S. state of Oklahoma, known for its energy industry, cowboy culture, and role as a major regional economic and transportation hub.
  • C. Tulsa metropolitan area
    The Tulsa metropolitan area is a regional urban and economic hub in northeastern Oklahoma centered on the city of Tulsa and its surrounding communities.
  • D. El Reno
    El Reno is a small city in central Oklahoma known for its historic Route 66 ties, annual fried onion burger festival, and role as a regional agricultural and transportation hub.
  • E. 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.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fb9c5c88190881b069e1face10c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1e3d6191c8190adb41feec1bfa76e completed April 5, 2026, 4:23 a.m.
Created at: March 30, 2026, 6:44 p.m.