Triple
T26752391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wensleydale cheese train |
E674574
|
entity |
| Predicate | hasMaterialAppearanceOf |
P194117
|
FINISHED |
| Object | Wensleydale cheese |
—
|
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: Wensleydale cheese | Statement: [Wensleydale cheese train, hasMaterialAppearanceOf, Wensleydale cheese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaterialAppearanceOf Context triple: [Wensleydale cheese train, hasMaterialAppearanceOf, Wensleydale cheese]
-
A.
maskMaterialAppearance
Indicates that the visual appearance or rendering of a material is being masked, altered, or controlled by another input or condition.
-
B.
isMaterialSpecific
Indicates that a relationship, rule, or property applies only to a particular material or set of materials, rather than being generally applicable.
-
C.
hasMaterialAspect
Indicates that something possesses a physical or tangible component or aspect as part of its overall nature or existence.
-
D.
appliedToMaterial
Indicates that an action, process, or treatment is performed on or directed toward a specific material.
-
E.
usesMaterialBy
Indicates that one entity makes use of or employs a material that is provided, specified, or created by another entity.
- F. None of above. chosen
Provenance (4 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69fd64bb345c819096a35c72784a8ce3 |
completed | May 8, 2026, 4:21 a.m. |
Created at: April 27, 2026, 3:54 a.m.