Triple

T3738154
Position Surface form Disambiguated ID Type / Status
Subject Roger Penske E79634 entity
Predicate founded P104 FINISHED
Object Team Penske E382992 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: Team Penske | Statement: [Roger Penske, founded, Team Penske]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Team Penske
Context triple: [Roger Penske, founded, Team Penske]
  • A. Team Penske chosen
    Team Penske is a prominent American auto racing organization best known for its successful teams in series such as IndyCar and NASCAR.
  • B. Haas F1 Team
    Haas F1 Team is an American-owned Formula One racing team that competes in the FIA Formula One World Championship.
  • C. Dennit Racing
    Dennit Racing is the fictional NASCAR team featured in the comedy film "Talladega Nights: The Ballad of Ricky Bobby," for which Ricky Bobby drives.
  • D. Penske Automotive Group
    Penske Automotive Group is a large international transportation services company and one of the world’s leading automotive and commercial truck retailers.
  • E. Haas
    Haas is a German-origin surname borne by numerous individuals worldwide, including several notable figures in fields such as sports, science, and the arts.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3e9248819098d481fe29e1c628 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f02aac60819095e62cc5e792d538 completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:34 p.m.