Triple
T23920502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrysler LHS |
E602199
|
entity |
| Predicate | luxuryOrientation |
P154372
|
FINISHED |
| Object | comfort-oriented rather than sport-oriented |
—
|
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: comfort-oriented rather than sport-oriented | Statement: [Chrysler LHS, luxuryOrientation, comfort-oriented rather than sport-oriented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: luxuryOrientation Context triple: [Chrysler LHS, luxuryOrientation, comfort-oriented rather than sport-oriented]
-
A.
luxurySegment
Indicates that the associated entity belongs to, targets, or is positioned within the luxury or premium market segment.
-
B.
isLuxuryGood
Indicates that an item is considered a high-end, non-essential product associated with premium quality, exclusivity, or status.
-
C.
isLuxuryHotel
Indicates that a hotel is classified as a luxury establishment, typically offering high-end amenities, services, and accommodations.
-
D.
luxMeans
Indicates that something serves as a means, method, or instrument by which a specified light-related effect, condition, or outcome is achieved.
-
E.
hasLuxuryBrands
Indicates that an entity possesses, offers, or is associated with one or more luxury brands.
- F. None of above. chosen
Provenance (4 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf1772e08190a434c91f4e7437b4 |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:41 p.m.