Triple
T31723399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Cheval Blanc |
E809643
|
entity |
| Predicate | oenologistRole |
P137849
|
FINISHED |
| Object | focus on expressing individual parcels |
—
|
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: focus on expressing individual parcels | Statement: [Château Cheval Blanc, oenologistRole, focus on expressing individual parcels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oenologistRole Context triple: [Château Cheval Blanc, oenologistRole, focus on expressing individual parcels]
-
A.
oenologist
Indicates that one entity is an expert in the science and practice of wine and winemaking in relation to another entity.
-
B.
oenologicalPractice
chosen
Indicates a relationship where an entity is involved in, applies, or is characterized by a specific winemaking or wine-handling practice.
-
C.
viticulturalRole
Indicates the specific function, responsibility, or involvement an entity has within viticulture or grape-growing activities.
-
D.
roleInCognac
Indicates that an entity plays a specific role or function within the context of cognac (e.g., its production, classification, or related processes).
-
E.
wineBlendRole
Indicates the specific role or function that a wine plays within a blend (e.g., primary component, supporting component, or minor addition).
- 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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:19 p.m.