Triple
T33154230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aston Martin DBX |
E848523
|
entity |
| Predicate | firstSUVOfBrand |
P5101
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Aston Martin DBX, firstSUVOfBrand, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSUVOfBrand Context triple: [Aston Martin DBX, firstSUVOfBrand, true]
-
A.
firstAllElectricModelOfBrand
Indicates that the subject is the first fully electric vehicle model produced by the specified brand.
-
B.
firstModelIntroduced
Indicates that one entity is the earliest or original model introduced in relation to another entity or context.
-
C.
SUVOfTheYearIs
Indicates that a specific vehicle has been designated as the SUV of the Year for a given award or context.
-
D.
firstJetFamilyModel
Indicates that the subject is the first aircraft model in a particular family or series of jet models.
-
E.
firstModel
chosen
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
- 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_69f3495b02d08190bb3d366823dffc21 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:28 a.m.