Triple
T13559668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expédition d’Irlande |
E323870
|
entity |
| Predicate | langueDeL’appellation |
P6538
|
FINISHED |
| Object | français |
—
|
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: français | Statement: [Expédition d’Irlande, langueDeL’appellation, français]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: langueDeL’appellation Context triple: [Expédition d’Irlande, langueDeL’appellation, français]
-
A.
appellationType
Indicates the specific kind or category of name or designation applied to an entity.
-
B.
wineAppellation
Indicates that a wine originates from, and is classified under, a specific geographic appellation or designated wine-producing region.
-
C.
includesAppellation
Indicates that one entity contains or incorporates another entity’s name, title, or designation as part of its own identification.
-
D.
appellationLevel
Indicates the hierarchical rank or degree of formality of a name, title, or designation assigned to an entity.
-
E.
nameInFrench
chosen
Indicates that an entity is known or referred to by a specific name expressed in the French language.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.