Triple
T31723412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troisième Cru Classé |
E809644
|
entity |
| Predicate | appliesToAppellation |
P82190
|
FINISHED |
| Object | Margaux |
—
|
NE NERFINISHED |
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: Margaux | Statement: [Troisième Cru Classé, appliesToAppellation, Margaux]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToAppellation Context triple: [Troisième Cru Classé, appliesToAppellation, Margaux]
-
A.
hasAppellation
Indicates that an entity is known, labeled, or referred to by a particular name, title, or designation.
-
B.
hasAppellationType
Indicates that an entity’s name or title is associated with a specific category or type of appellation.
-
C.
hasAppellationRule
Indicates that there is a rule or standard governing how an entity may be named, labeled, or designated.
-
D.
nameAppliesTo
chosen
Indicates that a particular name is assigned to, or valid for use with, a specific entity.
-
E.
operatesInAppellation
Indicates that an entity conducts its activities or business within a specified appellation (a legally defined geographic or wine-producing region).
- 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_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: April 30, 2026, 11:19 p.m.