Triple
T30180347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audi passenger cars |
E767181
|
entity |
| Predicate | bodyStyleRange |
P74532
|
FINISHED |
| Object | compact cars |
—
|
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: compact cars | Statement: [Audi passenger cars, bodyStyleRange, compact cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyStyleRange Context triple: [Audi passenger cars, bodyStyleRange, compact cars]
-
A.
styleRange
Indicates that a particular style or formatting is applied over a specified span or range within a larger structure.
-
B.
bodyStyleHistory
Indicates the historical record of changes or versions in an entity’s body style over time.
-
C.
primaryBodyStyle
Indicates the main or predominant body configuration or structural form associated with an entity.
-
D.
stylisticRange
Indicates the range or spectrum of styles that characterize or can be applied to something.
-
E.
bodyStyleCategory
chosen
Indicates the general body style classification or category that an item (such as a vehicle or product) belongs to.
- 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f40e2808190b08d8870702a3f5c |
completed | May 2, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:26 p.m.