Triple
T25040267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pimientos de Gernika |
E627086
|
entity |
| Predicate | surfaceWhenCooked |
P1242
|
FINISHED |
| Object | blistered skin |
—
|
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: blistered skin | Statement: [Pimientos de Gernika, surfaceWhenCooked, blistered skin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceWhenCooked Context triple: [Pimientos de Gernika, surfaceWhenCooked, blistered skin]
-
A.
bakingSurface
Indicates that one entity serves as the surface or platform on which another entity is baked.
-
B.
surfaceCover
Indicates that one entity forms the material or layer that covers the outer surface of another entity.
-
C.
isUsuallyCookedIn
Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
-
D.
surfaceType
chosen
Indicates the kind or classification of surface associated with an entity or interaction.
-
E.
isNotCookedOn
Indicates that one entity is not prepared or heated using another entity as the cooking surface, method, or medium.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 6:08 a.m.