Triple
T4331812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheshire cheese |
E96766
|
entity |
| Predicate | variety |
P41829
|
FINISHED |
| Object | white Cheshire |
—
|
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: white Cheshire | Statement: [Cheshire cheese, variety, white Cheshire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: variety Context triple: [Cheshire cheese, variety, white Cheshire]
-
A.
varietyOf
chosen
Indicates that one entity is a specific type, kind, or variant of another, more general entity.
-
B.
typicalVariety
Indicates that one entity is a representative or characteristic example of the variety or type defined by another entity.
-
C.
entertainmentType
Indicates the kind or category of entertainment associated with an entity or event.
-
D.
genre
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
E.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514dc588819086a4c6d585c1b5b1 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.