Triple

T4180979
Position Surface form Disambiguated ID Type / Status
Subject Oracle Team USA E88192 entity
Predicate formerName P65 FINISHED
Object BMW Oracle Racing E420012 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: BMW Oracle Racing | Statement: [Oracle Team USA, formerName, BMW Oracle Racing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW Oracle Racing
Context triple: [Oracle Team USA, formerName, BMW Oracle Racing]
  • A. BMW Oracle Racing chosen
    BMW Oracle Racing was a prominent American yacht racing team backed by Oracle Corporation that competed at the highest levels of the America’s Cup.
  • B. Wolf Racing
    Wolf Racing was a Canadian Formula One team that competed in the 1970s, known for fielding drivers such as James Hunt and Jody Scheckter.
  • C. Tartan Racing
    Tartan Racing is an autonomous vehicle research team formed by Carnegie Mellon University and General Motors that gained prominence by winning the 2007 DARPA Urban Challenge.
  • D. BMW Motorsport
    BMW Motorsport is the performance and racing division of BMW, responsible for the brand’s high-performance M models and global motorsport activities.
  • E. McLaren Automotive
    McLaren Automotive is a British high-performance sports car and supercar manufacturer renowned for its Formula 1–derived engineering and cutting-edge design.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0304702c8190899cbb0e3e41b987 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5961845488190827b03e161f1235e completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:45 p.m.