Triple
T3802023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxus |
E91709
|
entity |
| Predicate | offersBodyStyle |
P51843
|
FINISHED |
| Object | panel van |
—
|
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: panel van | Statement: [Maxus, offersBodyStyle, panel van]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersBodyStyle Context triple: [Maxus, offersBodyStyle, panel van]
-
A.
hasExteriorStyle
Indicates that an entity possesses or is characterized by a particular exterior design or stylistic appearance.
-
B.
winnerBodyStyle
Indicates that one entity is the body style (e.g., sedan, SUV) associated with the winning entry or outcome in a competition or selection.
-
C.
hasBodyColor
Indicates that an entity possesses a particular body color as one of its attributes.
-
D.
thirdGenerationBodyStyle
Indicates that the subject has the body style corresponding to the third generation of a particular model or design series.
-
E.
secondGenerationBodyStyle
Indicates that the subject has or is associated with the second generation of a particular body style.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee8d9b328819080158be59e5bcc97 |
completed | March 9, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:15 p.m.