Triple
T33809243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Brane-Cantenac |
E866477
|
entity |
| Predicate | wineRegionHierarchy |
P177730
|
FINISHED |
| Object | Margaux within Médoc within Bordeaux |
—
|
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: Margaux within Médoc within Bordeaux | Statement: [Château Brane-Cantenac, wineRegionHierarchy, Margaux within Médoc within Bordeaux]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineRegionHierarchy Context triple: [Château Brane-Cantenac, wineRegionHierarchy, Margaux within Médoc within Bordeaux]
-
A.
wineRegionHierarchyLevel
Indicates the hierarchical level or rank of a wine-producing region within a structured classification of wine regions.
-
B.
wineRegion
Indicates the geographical region or area where a particular wine is produced or originates.
-
C.
wineClassificationRegion
Indicates that a wine is classified according to the geographic region where it is produced or designated.
-
D.
wineRegionCategory
Indicates a classification relationship where a wine region is assigned to a specific category or type of wine-producing area.
-
E.
wineLawRegionType
Indicates the type or category of legal designation that governs wine production in a particular region.
- 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:46 a.m.