Triple

T15796416
Position Surface form Disambiguated ID Type / Status
Subject Team Penske E382992 entity
Predicate sponsor P67 FINISHED
Object Shell-Pennzoil E419277 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: Shell-Pennzoil | Statement: [Team Penske, sponsor, Shell-Pennzoil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shell-Pennzoil
Context triple: [Team Penske, sponsor, Shell-Pennzoil]
  • A. Pennzoil Company chosen
    Pennzoil Company is a major American oil and automotive lubricants brand historically known for its motor oils and association with high-performance and everyday vehicles.
  • B. Amoco
    Amoco was a major American oil and gas company, originally part of the Standard Oil empire, known for its nationwide network of service stations and petroleum products before merging with BP in 1998.
  • C. Texaco
    Texaco is a major American oil company known for its gasoline brand and extensive global petroleum operations.
  • D. Union Oil
    Union Oil was a major American petroleum company, historically significant as a prominent West Coast oil producer and refiner later absorbed into Chevron.
  • E. Federal-Mogul
    Federal-Mogul is a global supplier of automotive and industrial powertrain and vehicle safety components, known for its engine, sealing, and braking products.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4dd4fd88190a77b224b4dee6541 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90aea81c8190ad8bc0cdedf4b77a completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.