Triple
T24606039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cropwell Bishop |
E608973
|
entity |
| Predicate | hasCheeseProducer |
P104672
|
FINISHED |
| Object |
Cropwell Bishop Creamery
Cropwell Bishop Creamery is a renowned English artisan dairy producer best known for its traditional, award-winning Stilton cheese.
|
E1642197
|
NE FINISHED |
How this triple was built (3 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: Cropwell Bishop Creamery | Statement: [Cropwell Bishop, hasCheeseProducer, Cropwell Bishop Creamery]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cropwell Bishop Creamery Triple: [Cropwell Bishop, hasCheeseProducer, Cropwell Bishop Creamery]
Generated description
Cropwell Bishop Creamery is a renowned English artisan dairy producer best known for its traditional, award-winning Stilton cheese.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCheeseProducer Context triple: [Cropwell Bishop, hasCheeseProducer, Cropwell Bishop Creamery]
-
A.
hasCheeseFactory
chosen
Indicates that an entity possesses, hosts, or contains a cheese-producing factory.
-
B.
hasCheeseStyleOrigin
Indicates that a cheese’s style or type originates from, or is traditionally associated with, a particular place or region.
-
C.
hasCheeseVarietyNamedAfterIt
Indicates that something has a type or variety of cheese that is named after it.
-
D.
cheeseMadeFrom
Indicates that one entity is produced or derived as cheese from another entity (typically a source ingredient such as milk).
-
E.
roleInCheese
Indicates that an entity participates in the production, composition, or classification of a cheese with a specific functional role.
- F. None of above.
Provenance (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ff88c65a88190858d1f637e69b894 |
completed | May 22, 2026, 6:32 a.m. |
| NEDg | Description generation | batch_6a0ffa0e653481909158d5aab58c47cd |
completed | May 22, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ffaba3af88190927957e4d31dd6f7 |
completed | May 22, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.