Triple
T21765003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caerphilly cheese |
E537260
|
entity |
| Predicate | typicalInteriorAppearance |
P145867
|
FINISHED |
| Object | pale white |
—
|
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: pale white | Statement: [Caerphilly cheese, typicalInteriorAppearance, pale white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInteriorAppearance Context triple: [Caerphilly cheese, typicalInteriorAppearance, pale white]
-
A.
typicalInterior
Indicates that one entity is the usual or characteristic interior of another entity.
-
B.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
C.
interiorFloor
Indicates that one entity is the interior floor surface or flooring of another enclosing space or structure.
-
D.
typicalFinish
Indicates that an action, process, or event commonly or characteristically ends with a particular outcome or state.
-
E.
hasRichInteriorDecoration
Indicates that an entity features elaborate, ornate, or luxuriously detailed interior decoration.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a9a08c8190bc0588ffa0f2da44 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 6:51 p.m.