Triple
T4247549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peugeot 205 |
E95563
|
entity |
| Predicate | GTIVariantDisplacement |
P7998
|
FINISHED |
| Object | 1.6-litre petrol engine |
—
|
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: 1.6-litre petrol engine | Statement: [Peugeot 205, GTIVariantDisplacement, 1.6-litre petrol engine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GTIVariantDisplacement Context triple: [Peugeot 205, GTIVariantDisplacement, 1.6-litre petrol engine]
-
A.
displacementVariant
Indicates a relationship where one entity is an alternative or modified form of another that differs specifically in its spatial position or displacement.
-
B.
engineDisplacement
chosen
Indicates the total volume swept by all the pistons inside an engine’s cylinders during one complete cycle.
-
C.
carTypeVariant
Indicates that one car type is a specific variant or version of another car type.
-
D.
displacementRange
Indicates the minimum and maximum extent of positional change or movement that an entity can undergo or exhibits.
-
E.
displacementClass
Indicates the category or type of physical displacement associated with an entity or event, typically grouping similar kinds or magnitudes of movement into a common class.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9cb71481909b4baa370193148f |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.