Triple
T32971236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabot Creamery |
E843522
|
entity |
| Predicate | typeOfDairyCooperative |
P202513
|
FINISHED |
| Object | farmer cooperative |
—
|
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: farmer cooperative | Statement: [Cabot Creamery, typeOfDairyCooperative, farmer cooperative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDairyCooperative Context triple: [Cabot Creamery, typeOfDairyCooperative, farmer cooperative]
-
A.
milkType
Indicates the specific kind or category of milk associated with an entity (e.g., whole, skim, plant-based).
-
B.
primaryDairyBase
Indicates that one entity serves as the main dairy ingredient or foundational dairy component used in or associated with another entity.
-
C.
cheeseType
Indicates that one entity is a specific type or variety of cheese in relation to another entity.
-
D.
curdType
Indicates the specific kind or category of curd associated with an entity.
-
E.
hasStandardDairy
Indicates that an entity adheres to or complies with an established standard related to dairy products or dairy practices.
- 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a008c77d4dc8190b342d7407eaf48fa |
completed | May 10, 2026, 1:47 p.m. |
| PD | Predicate disambiguation | batch_6a008c18531c8190bbe883b73e6d023f |
completed | May 10, 2026, 1:46 p.m. |
| PDg | Predicate description generation | batch_6a008c770df481908fe58b265fba06a3 |
completed | May 10, 2026, 1:47 p.m. |
Created at: May 1, 2026, 1:21 a.m.