Triple
T33983724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet W-Series |
E871355
|
entity |
| Predicate | cabinTypeOptions |
P85721
|
FINISHED |
| Object | standard cab |
—
|
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: standard cab | Statement: [Chevrolet W-Series, cabinTypeOptions, standard cab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cabinTypeOptions Context triple: [Chevrolet W-Series, cabinTypeOptions, standard cab]
-
A.
cabinTypes
chosen
Indicates the types or categories of cabins associated with an entity, such as the different classes or configurations available.
-
B.
hasCabins
Indicates that an entity possesses or includes one or more cabins as part of its structure or facilities.
-
C.
cabinFeatures
Indicates that a cabin possesses or includes specific features, amenities, or characteristics.
-
D.
cabinLengthCategory
Indicates the classification of an entity based on the length of its cabin into predefined size categories.
-
E.
cabinConfiguration
Indicates how the interior space of a vehicle, vessel, or aircraft is arranged and organized for occupants or cargo.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:50 a.m.