Triple
T23003050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edam cheese |
E572682
|
entity |
| Predicate | agingEffectOnTexture |
P99453
|
FINISHED |
| Object | becomes drier with age |
—
|
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: becomes drier with age | Statement: [Edam cheese, agingEffectOnTexture, becomes drier with age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agingEffectOnTexture Context triple: [Edam cheese, agingEffectOnTexture, becomes drier with age]
-
A.
agingAffectsTexture
chosen
Indicates that the process of aging changes or influences the texture of an entity.
-
B.
visualEffect
Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
-
C.
textureTreatment
Indicates how an entity’s surface feel or texture has been modified, processed, or treated.
-
D.
texture
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
E.
resolutionEffect
Indicates the outcome, consequence, or change that results from a particular resolution, decision, or problem-solving action.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183549bdc81908fdcd44e2c92f7c4 |
completed | April 29, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:50 p.m.