Triple
T6425388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfa Romeo 156 |
E128044
|
entity |
| Predicate | dieselEngineFamily |
P18926
|
FINISHED |
| Object | JTD common-rail diesel |
—
|
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: JTD common-rail diesel | Statement: [Alfa Romeo 156, dieselEngineFamily, JTD common-rail diesel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dieselEngineFamily Context triple: [Alfa Romeo 156, dieselEngineFamily, JTD common-rail diesel]
-
A.
notableEngineFamily
chosen
Indicates that one entity is a well-known or significant engine family associated with the other entity.
-
B.
engineTypeUsed
Indicates that a particular type of engine is employed or utilized in relation to a specified entity or system.
-
C.
availableEngineDisplacement
Indicates the range or specific values of engine displacement that are offered or applicable for a given entity.
-
D.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
-
E.
engineClass
Indicates the classification or type category assigned to an engine within a given system or context.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691e2e708190a9198cf61f92c6c2 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.