Triple
T26946340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domaine de la Romanée-Conti |
E678653
|
entity |
| Predicate | redWineFrom |
P161360
|
FINISHED |
| Object | Romanée-Saint-Vivant 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-Saint-Vivant Grand Cru | Statement: [Domaine de la Romanée-Conti, redWineFrom, Romanée-Saint-Vivant Grand Cru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redWineFrom Context triple: [Domaine de la Romanée-Conti, redWineFrom, Romanée-Saint-Vivant Grand Cru]
-
A.
redWineFrom
chosen
Indicates that a red wine originates from, is produced in, or is sourced from a specified place or region.
-
B.
redWineRequired
Indicates that red wine is needed or mandated in the given context or situation.
-
C.
redWinesLabeledAs
Indicates that certain red wines are designated or identified by a particular label or labeling term.
-
D.
whiteWineFrom
Indicates that one entity is a white wine that originates from, or is produced in, the region or source specified by the other entity.
-
E.
wineColor
Indicates the color attribute or hue associated with a given 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 6:21 a.m.