Triple
T18877837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat 1300/1500 |
E461733
|
entity |
| Predicate | engineDisplacementVariant |
P4162
|
FINISHED |
| Object | 1295 cc |
—
|
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: 1295 cc | Statement: [Fiat 1300/1500, engineDisplacementVariant, 1295 cc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engineDisplacementVariant Context triple: [Fiat 1300/1500, engineDisplacementVariant, 1295 cc]
-
A.
engineDisplacement
Indicates the total volume swept by all the pistons inside an engine’s cylinders during one complete cycle.
-
B.
availableEngineDisplacement
chosen
Indicates the range or specific values of engine displacement that are offered or applicable for a given entity.
-
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.
displacementPerCylinder
Indicates the volume of space displaced by the piston in a single cylinder during one complete stroke or cycle.
-
E.
carTypeVariant
Indicates that one car type is a specific variant or version of another car type.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3cfc4408190a7ae91459f75be52 |
completed | April 20, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69e48d22dde8819093b1d963bd673365 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:57 a.m.