Triple
T16419372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distillerie Bielle |
E398773
|
entity |
| Predicate | ageingLocation |
P46089
|
FINISHED |
| Object | warehouses on Marie-Galante |
—
|
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: warehouses on Marie-Galante | Statement: [Distillerie Bielle, ageingLocation, warehouses on Marie-Galante]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageingLocation Context triple: [Distillerie Bielle, ageingLocation, warehouses on Marie-Galante]
-
A.
legalAgingLocation
Indicates the place or jurisdiction in which an entity is legally aged or matures according to applicable laws or regulations.
-
B.
agingLocation
chosen
Indicates the place where an entity undergoes an aging process or is stored to age over time.
-
C.
positionOnAging
Indicates a stance, opinion, or policy that an entity holds regarding aging or age-related issues.
-
D.
agingFacility
Indicates that a facility is undergoing or associated with the process of aging, deterioration, or decline in condition over time.
-
E.
timeLocatedIn
Indicates that an event, state, or entity occurs, exists, or is valid within a specified time or temporal interval.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3287a3d348190831b12101d8449b6 |
completed | April 18, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.