Triple
T32971245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabot Creamery |
E843522
|
entity |
| Predicate | hasCheeseStyle |
P60147
|
FINISHED |
| Object | sharp cheddar |
—
|
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: sharp cheddar | Statement: [Cabot Creamery, hasCheeseStyle, sharp cheddar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCheeseStyle Context triple: [Cabot Creamery, hasCheeseStyle, sharp cheddar]
-
A.
hasCheeseStyleOrigin
Indicates that a cheese’s style or type originates from, or is traditionally associated with, a particular place or region.
-
B.
hasCheeseFactory
Indicates that an entity possesses, hosts, or contains a cheese-producing factory.
-
C.
cheeseType
chosen
Indicates that one entity is a specific type or variety of cheese in relation to another entity.
-
D.
hasCheeseVarietyNamedAfterIt
Indicates that something has a type or variety of cheese that is named after it.
-
E.
cheeseSpeciality
Indicates that one entity is known for or specializes in producing or offering a particular type of cheese.
- 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: May 1, 2026, 1:21 a.m.