Triple
T24417790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pineau des Charentes |
E615634
|
entity |
| Predicate | appellationGranted |
P155851
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [Pineau des Charentes, appellationGranted, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appellationGranted Context triple: [Pineau des Charentes, appellationGranted, 1945]
-
A.
includesAppellation
Indicates that one entity contains or incorporates another entity’s name, title, or designation as part of its own identification.
-
B.
notableAppellation
Indicates that an entity is known by, or commonly referred to with, a particular notable name or title.
-
C.
hasAppellation
Indicates that an entity is known, labeled, or referred to by a particular name, title, or designation.
-
D.
appellationLevel
Indicates the hierarchical rank or degree of formality of a name, title, or designation assigned to an entity.
-
E.
appellationType
Indicates the specific kind or category of name or designation applied to an 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29587b2308190907886b82d8c5129 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f2915233c48190a181c8c1924e892c |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 18, 2026, 2:13 a.m.