Triple
T26946337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domaine de la Romanée-Conti |
E678653
|
entity |
| Predicate | redWineFrom |
P161360
|
FINISHED |
| Object | Romanée-Conti Grand Cru |
—
|
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: Romanée-Conti Grand Cru | Statement: [Domaine de la Romanée-Conti, redWineFrom, Romanée-Conti Grand Cru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redWineFrom Context triple: [Domaine de la Romanée-Conti, redWineFrom, Romanée-Conti Grand Cru]
-
A.
redWineRequired
Indicates that red wine is needed or mandated in the given context or situation.
-
B.
redWinesLabeledAs
Indicates that certain red wines are designated or identified by a particular label or labeling term.
-
C.
wineColor
Indicates the color attribute or hue associated with a given wine.
-
D.
redWineProductionAllowed
Indicates that producing red wine is permitted under the relevant rules, conditions, or regulations.
-
E.
wineStyle
Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620858a4081909de8afda69398553 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:21 a.m.