Triple
T37401084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooper Car Company |
E928996
|
entity |
| Predicate | secondWorldDriversTitleYear |
P200465
|
FINISHED |
| Object | 1960 |
—
|
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: 1960 | Statement: [Cooper Car Company, secondWorldDriversTitleYear, 1960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondWorldDriversTitleYear Context triple: [Cooper Car Company, secondWorldDriversTitleYear, 1960]
-
A.
raceYear
Indicates the specific calendar year in which a particular race event takes place.
-
B.
secondGenerationYears
Indicates the span of years during which the second generation of something (e.g., a product, system, or lineage) is active, relevant, or in effect.
-
C.
secondInstallmentReleaseYear
Indicates the year in which the second installment of a series or sequence is released.
-
D.
secondIssueYear
Indicates the year in which an entity was issued for the second time, such as a second edition, release, or publication.
-
E.
wonDriversTitleFor
Indicates that one entity secured the drivers’ championship title while competing for, or representing, another entity.
- F. None of above. chosen
Provenance (4 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
| PDg | Predicate description generation | batch_69ff8ba329e08190813e728f0d1bd973 |
completed | May 9, 2026, 7:31 p.m. |
Created at: May 3, 2026, 4:16 p.m.