Triple

T5943379
Position Surface form Disambiguated ID Type / Status
Subject Yevgeny Yevtushenko E132219 entity
Predicate residence P75 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: [Yevgeny Yevtushenko, residence, Tulsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulsa
Context triple: [Yevgeny Yevtushenko, residence, 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. 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.
  • E. Stillwater, Oklahoma
    Stillwater, Oklahoma is a mid-sized city in north-central Oklahoma best known as the home of Oklahoma State University and a regional center for education, agriculture, and industry.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0393641d0819081c6c44816d94e4e completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3bd196081908361a38ca17309c6 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4:01 p.m.