Triple
T17915744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bigorre black pork |
E447920
|
entity |
| Predicate | textureWhenCooked |
P96596
|
FINISHED |
| Object | juicy |
—
|
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: juicy | Statement: [Bigorre black pork, textureWhenCooked, juicy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureWhenCooked Context triple: [Bigorre black pork, textureWhenCooked, juicy]
-
A.
texture
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
B.
textureOfTopping
Indicates the specific surface quality or mouthfeel characteristic of a topping in relation to the item it is applied to.
-
C.
brothTexture
Indicates the perceived consistency or mouthfeel quality of a broth in a dish.
-
D.
isBaked
Indicates that an entity has undergone a baking process, typically by being cooked with dry heat in an oven or similar environment.
-
E.
textureFeatures
chosen
Indicates that one entity possesses or is characterized by specific surface or material texture properties described by the other entity.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3054f048190a98a3b314cd82d5c |
completed | April 19, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:20 a.m.