Triple
T37935707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bugey cheese |
E946341
|
entity |
| Predicate | maturationProcess |
P113778
|
FINISHED |
| Object | affinage |
—
|
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: affinage | Statement: [Bugey cheese, maturationProcess, affinage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maturationProcess Context triple: [Bugey cheese, maturationProcess, affinage]
-
A.
maturationPractice
chosen
Indicates a process or set of actions that contribute to the development, refinement, or maturation of something over time.
-
B.
maturationEffect
Indicates the influence or change that maturation (natural developmental progression over time) has on an entity’s characteristics, behavior, or state.
-
C.
firstMaturation
Indicates the point or process at which an entity undergoes its initial stage of maturation or development.
-
D.
secondMaturation
Indicates that an entity undergoes a subsequent or later stage of maturation following an initial maturation process.
-
E.
maturationOnLees
Indicates a process where a substance, typically a beverage like wine, matures or ages while remaining in contact with its lees (sediment of dead yeast and other particles).
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.