Triple
T23279325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adyghe cheese |
E588812
|
entity |
| Predicate | industrialProduction |
P76326
|
FINISHED |
| Object | produced in dairies in the North Caucasus |
—
|
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: produced in dairies in the North Caucasus | Statement: [Adyghe cheese, industrialProduction, produced in dairies in the North Caucasus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrialProduction Context triple: [Adyghe cheese, industrialProduction, produced in dairies in the North Caucasus]
-
A.
industrialStructure
Indicates a structural or organizational relationship involving industrial facilities, systems, or frameworks.
-
B.
industrialFocus
Indicates a relationship where an entity is primarily concerned with, specialized in, or directed toward a particular industrial sector or area of industrial activity.
-
C.
industrialCategory
Indicates the industry or sector classification to which an entity (such as a business or organization) belongs.
-
D.
commodityProduced
chosen
Indicates that a particular commodity is generated, manufactured, or otherwise produced by a specified entity or process.
-
E.
industrialComplex
Indicates a relationship where a facility or site functions as a large-scale, integrated center for industrial production, processing, or related operations.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196419eac819081d0beb5767046dc |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:50 p.m.