Triple

T12822546
Position Surface form Disambiguated ID Type / Status
Subject Pennzoil v. Texaco lawsuit E306565 entity
Predicate compensatoryDamagesAwarded P88497 FINISHED
Object approximately 7.5 billion U.S. dollars LITERAL 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: approximately 7.5 billion U.S. dollars | Statement: [Pennzoil v. Texaco lawsuit, compensatoryDamagesAwarded, approximately 7.5 billion U.S. dollars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: compensatoryDamagesAwarded
Context triple: [Pennzoil v. Texaco lawsuit, compensatoryDamagesAwarded, approximately 7.5 billion U.S. dollars]
  • A. punitiveDamagesReduced
    Indicates that an initially awarded amount of punitive damages has been decreased, typically by a court or through settlement.
  • B. providedCompensationAmount chosen
    Indicates the specific amount of compensation that was given or agreed to be given in relation to an action, event, or obligation.
  • C. civilJudgmentAmount
    Indicates the monetary value ordered or determined in a civil court judgment between parties.
  • D. compensated
    Indicates that one entity provides payment or some form of recompense to another entity in return for goods, services, or loss incurred.
  • E. reparationAmountPerPerson
    Indicates the specific amount of reparations allocated or owed to each individual person involved.
  • F. None of above.

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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9fcc8c8190a926ab0481d28f14 completed April 10, 2026, 9:41 p.m.
PD Predicate disambiguation batch_69d964100f7481909a197396003d4a71 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:32 p.m.