Triple
T28826852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEAT Toledo |
E727930
|
entity |
| Predicate | thirdGenerationRelatedModel |
P41140
|
FINISHED |
| Object | SEAT Altea |
—
|
NE NERFINISHED |
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: SEAT Altea | Statement: [SEAT Toledo, thirdGenerationRelatedModel, SEAT Altea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdGenerationRelatedModel Context triple: [SEAT Toledo, thirdGenerationRelatedModel, SEAT Altea]
-
A.
secondGenerationRelatedTo
Indicates a relationship where one entity is in the second generation relative to another, such as a grandchild, grandparent, or equivalent two-generation familial link.
-
B.
thirdGeneration
chosen
Indicates that one entity is the grandchild (third generation) relative to another entity in a lineage or succession.
-
C.
fourthGenerationRelatedModel
Indicates that one model is related to another as a fourth-generation successor or variant in a lineage or series.
-
D.
associatedModelGeneration
Indicates that one entity is responsible for creating, producing, or generating another related model or representation.
-
E.
thirdGenerationProduction
Indicates that the subject is involved in producing or manufacturing items belonging to the third generation of a product, technology, or design series.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 28, 2026, 6:36 a.m.