Triple
T10300600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château La Tour-Martillac |
E241616
|
entity |
| Predicate | oenologicalCategory |
P42321
|
FINISHED |
| Object | still wine producer |
—
|
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: still wine producer | Statement: [Château La Tour-Martillac, oenologicalCategory, still wine producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oenologicalCategory Context triple: [Château La Tour-Martillac, oenologicalCategory, still wine producer]
-
A.
oenologicalSignificance
Indicates the relationship in which something holds importance, relevance, or notable impact within the context of wine or winemaking.
-
B.
wineCategory
chosen
Indicates the classification or type of wine that an entity (such as a specific wine) belongs to.
-
C.
wineClassificationSystem
Indicates a system or scheme used to categorize and organize wines based on defined criteria such as origin, style, or quality.
-
D.
wineVariety
Indicates the specific type or variety of wine associated with an entity.
-
E.
wineLaw
Indicates a legal or regulatory relationship governing the production, sale, labeling, or distribution of wine.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2eefe8881908a672c4dca7657ca |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:44 a.m.