Triple
T2977324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spyker C8 Laviolette |
E80428
|
entity |
| Predicate | brandHeritageReference |
P17327
|
FINISHED |
| Object | aviation heritage of Spyker |
—
|
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: aviation heritage of Spyker | Statement: [Spyker C8 Laviolette, brandHeritageReference, aviation heritage of Spyker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandHeritageReference Context triple: [Spyker C8 Laviolette, brandHeritageReference, aviation heritage of Spyker]
-
A.
heritageReference
chosen
Indicates that one entity serves as a cultural, historical, or heritage-related reference or source for another entity.
-
B.
brandFounded
Indicates that a specific brand was established or created at a particular point in time or by a particular founder or entity.
-
C.
hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
-
D.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
-
E.
brandAttribute
Indicates that a specific attribute or characteristic is associated with, or describes, a particular brand.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998c589c8190b4530f3fb8975187 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.