Triple
T16587957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distillerie Poisson |
E403007
|
entity |
| Predicate | rumStyle |
P123429
|
FINISHED |
| Object | agricole rum |
—
|
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: agricole rum | Statement: [Distillerie Poisson, rumStyle, agricole rum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rumStyle Context triple: [Distillerie Poisson, rumStyle, agricole rum]
-
A.
ribStyle
Indicates the specific design or configuration of ribs used in or associated with an entity.
-
B.
nationalStyle
Indicates that something is characterized by or associated with the distinctive style of a particular nation.
-
C.
regentStyle
Indicates the manner, fashion, or stylistic approach in which a regent exercises authority or performs their governing role.
-
D.
typicalStyleRed
Indicates that something commonly or characteristically has a red style or appearance.
-
E.
inTheStyleOf
Indicates that one entity is created, performed, or presented in a manner that imitates or closely resembles the characteristic style of another entity.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599e79288190b6bcdb6fe4a2d1fa |
completed | April 18, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:16 a.m.