Triple

T7242223
Position Surface form Disambiguated ID Type / Status
Subject Warren Spahn Award E156383 entity
Predicate locationOfCeremony P128 FINISHED
Object Oklahoma City E372871 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: Oklahoma City | Statement: [Warren Spahn Award, locationOfCeremony, Oklahoma City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oklahoma City
Context triple: [Warren Spahn Award, locationOfCeremony, Oklahoma City]
  • A. Oklahoma City chosen
    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.
  • B. Tulsa
    Tulsa is a major city in northeastern Oklahoma known for its historic oil industry, distinctive Art Deco architecture, and vibrant arts and cultural scene.
  • C. Oklahoma City metropolitan area
    The Oklahoma City metropolitan area is a multi-county urban region centered on Oklahoma City that serves as the primary economic, cultural, and population hub of central Oklahoma.
  • D. 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.
  • E. Wichita
    Wichita is a savvy, resourceful con artist and one of the central survivors in the post-apocalyptic comedy film "Zombieland."
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea56756c8190996c2390902f166a completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa6ad54081908a0be2d1f7d6505e completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 2:55 p.m.