Triple
T13657935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomme de Savoie |
E326909
|
entity |
| Predicate | agingEnvironment |
P853
|
FINISHED |
| Object | cellar |
—
|
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: cellar | Statement: [Tomme de Savoie, agingEnvironment, cellar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agingEnvironment Context triple: [Tomme de Savoie, agingEnvironment, cellar]
-
A.
engagementEnvironment
Indicates the situational context or setting in which an interaction, activity, or engagement takes place.
-
B.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
C.
environmentalMedium
Indicates the environmental context or medium (such as air, water, or soil) through which a substance, effect, or process occurs or is present.
-
D.
environmentalFactor
Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
-
E.
secondaryEnvironment
Indicates that an entity is associated with an additional or supporting environment distinct from its primary one.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61f0d808190b1cd2a6ba0d930eb |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.