Triple
T37604729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GM P platform (Fiero) |
E935615
|
entity |
| Predicate | primaryEngineTypes |
P122598
|
FINISHED |
| Object | inline-4 gasoline engines |
—
|
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: inline-4 gasoline engines | Statement: [GM P platform (Fiero), primaryEngineTypes, inline-4 gasoline engines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEngineTypes Context triple: [GM P platform (Fiero), primaryEngineTypes, inline-4 gasoline engines]
-
A.
aircraftEngineType
Indicates the specific type or classification of engine that an aircraft uses.
-
B.
originalEngineType
Indicates the type or category of engine that an entity was initially or first equipped with.
-
C.
engineTypeIncluded
chosen
Indicates that a specified engine type is included as part of, or supported within, another entity or configuration.
-
D.
notableEngineType
Indicates that an entity is particularly recognized for using or being associated with a specific type of engine.
-
E.
aircraftPowerplantType
Indicates the type or category of powerplant (e.g., engine or propulsion system) used by an aircraft.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.