Triple
T21669958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodge Daytona (K-derivative) |
E534818
|
entity |
| Predicate | offeredEngineDisplacement |
P4162
|
FINISHED |
| Object | 2.2 L inline-four |
—
|
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: 2.2 L inline-four | Statement: [Dodge Daytona (K-derivative), offeredEngineDisplacement, 2.2 L inline-four]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredEngineDisplacement Context triple: [Dodge Daytona (K-derivative), offeredEngineDisplacement, 2.2 L inline-four]
-
A.
availableEngineDisplacement
chosen
Indicates the range or specific values of engine displacement that are offered or applicable for a given entity.
-
B.
engineDisplacement
Indicates the total volume swept by all the pistons inside an engine’s cylinders during one complete cycle.
-
C.
hasEngineDisplacementClass
Indicates a relationship where a vehicle or engine is assigned to a category based on the size or volume of its engine displacement.
-
D.
offeredEngineType
Indicates that a particular type of engine is made available or provided as an option in a given context.
-
E.
enginePower
Indicates the power output produced by an engine, typically quantifying its capability to perform work or generate mechanical energy.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0a9b4481909477245d53f99cb0 |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:37 p.m.