Triple
T22593124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stilton cheese (production area) |
E565000
|
entity |
| Predicate | shapeRequirement |
P148855
|
FINISHED |
| Object | cylindrical 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: cylindrical cheese | Statement: [Stilton cheese (production area), shapeRequirement, cylindrical cheese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeRequirement Context triple: [Stilton cheese (production area), shapeRequirement, cylindrical cheese]
-
A.
spaceRequirements
Indicates the amount and type of physical or storage space needed for something to be properly placed, installed, or operated.
-
B.
textureRequirement
Indicates that one entity specifies or imposes a required texture property or characteristic that another entity must satisfy.
-
C.
formatRequirement
Indicates that one entity specifies the required structure, style, or arrangement that another entity must follow or conform to.
-
D.
dimensionRestriction
Indicates a constraint or limit imposed on the size, extent, or number of dimensions associated with an entity or relationship.
-
E.
sizeRestriction
Indicates that there is a limitation or constraint on the allowable size or dimensions of something in the relationship.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16163cb248190b377b110d80a6730 |
completed | April 29, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 2:49 p.m.