Triple
T12822545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennzoil v. Texaco lawsuit |
E306565
|
entity |
| Predicate | judgmentAmount |
P79997
|
FINISHED |
| Object | over 10 billion U.S. dollars including interest and punitive damages |
—
|
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: over 10 billion U.S. dollars including interest and punitive damages | Statement: [Pennzoil v. Texaco lawsuit, judgmentAmount, over 10 billion U.S. dollars including interest and punitive damages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: judgmentAmount Context triple: [Pennzoil v. Texaco lawsuit, judgmentAmount, over 10 billion U.S. dollars including interest and punitive damages]
-
A.
civilJudgmentAmount
chosen
Indicates the monetary value ordered or determined in a civil court judgment between parties.
-
B.
legalActionSettlementAmount
Indicates the monetary amount agreed upon or ordered to resolve a legal action or dispute.
-
C.
approximateNumberAwarded
Indicates the estimated quantity of awards or recognitions given in a particular context or event.
-
D.
paymentAmount
Indicates the specific monetary value involved in a payment transaction between parties.
-
E.
awardAmount
Indicates the specific quantity or value of an award that is granted in the context of a particular awarding event or relationship.
- 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.