Triple
T24606166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colston Bassett |
E608977
|
entity |
| Predicate | hasCheeseDairy |
P104672
|
FINISHED |
| Object | Colston Bassett Dairy |
—
|
NE NERFINISHED |
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: Colston Bassett Dairy | Statement: [Colston Bassett, hasCheeseDairy, Colston Bassett Dairy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCheeseDairy Context triple: [Colston Bassett, hasCheeseDairy, Colston Bassett Dairy]
-
A.
hasDairyContent
Indicates that something contains dairy ingredients or components as part of its composition.
-
B.
isDairyFree
Indicates that something does not contain dairy ingredients or components derived from milk.
-
C.
hasCheeseFactory
chosen
Indicates that an entity possesses, hosts, or contains a cheese-producing factory.
-
D.
cheeseType
Indicates that one entity is a specific type or variety of cheese in relation to another entity.
-
E.
cheeseMadeFrom
Indicates that one entity is produced or derived as cheese from another entity (typically a source ingredient such as milk).
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.