Triple
T38686842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldsmobile 442 |
E949140
|
entity |
| Predicate | 1970EngineOption |
P82736
|
FINISHED |
| Object | 455 cu in V8 |
—
|
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: 455 cu in V8 | Statement: [Oldsmobile 442, 1970EngineOption, 455 cu in V8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 1970EngineOption Context triple: [Oldsmobile 442, 1970EngineOption, 455 cu in V8]
-
A.
engineModelOption
chosen
Indicates that a particular engine model is available as a configurable option for an item or product.
-
B.
aircraftEngineType
Indicates the specific type or classification of engine that an aircraft uses.
-
C.
engineTypeBuilt
Indicates that a specific type of engine has been constructed or manufactured by a particular entity.
-
D.
engineTypeUsed
Indicates that a particular type of engine is employed or utilized in relation to a specified entity or system.
-
E.
engineTypeIncluded
Indicates that a specified engine type is included as part of, or supported within, another entity or configuration.
- 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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.