Triple
T1205280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Camaro |
E25873
|
entity |
| Predicate | fifthGenerationEnd |
P25547
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Chevrolet Camaro, fifthGenerationEnd, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifthGenerationEnd Context triple: [Chevrolet Camaro, fifthGenerationEnd, 2015]
-
A.
fourthGenerationReleaseDate
Indicates the date on which the fourth generation of an item, product, or entity was released.
-
B.
thirdGenerationReleaseDate
Indicates the date on which the third generation of an item, product, or entity was officially released.
-
C.
secondGenerationReleaseDate
Indicates the date on which the second generation or version of an item was officially released.
-
D.
finalReleaseYear
Indicates the calendar year in which something (such as a product, work, or version) is officially released for the last time.
-
E.
fifthPlanStartYear
Indicates the calendar year in which the fifth plan in a sequence of plans begins.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc0f8d08190b340012a9eb26275 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bcc82e38819081c3615e1cc7a66f |
completed | March 1, 2026, 10:25 p.m. |
Created at: March 1, 2026, 7:46 p.m.