Triple
T17160457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Škoda Octavia (China) |
E416461
|
entity |
| Predicate | marketSpecificFeatures |
P75940
|
FINISHED |
| Object | localized equipment for Chinese consumers |
—
|
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: localized equipment for Chinese consumers | Statement: [Škoda Octavia (China), marketSpecificFeatures, localized equipment for Chinese consumers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketSpecificFeatures Context triple: [Škoda Octavia (China), marketSpecificFeatures, localized equipment for Chinese consumers]
-
A.
marketingFeature
Indicates that something is being promoted or highlighted as a selling point or advantage for marketing purposes.
-
B.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
C.
typicalFeatures
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
-
D.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
E.
marketTrait
chosen
Indicates that an entity possesses a particular characteristic, behavior, or attribute relevant to how it functions or is perceived in a market 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f911114481909c865b2e2d3b3a2b |
completed | April 18, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.