Triple
T30879328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rheingau wine region |
E786566
|
entity |
| Predicate | containsVineyard |
P25137
|
FINISHED |
| Object | Schloss Johannisberg vineyard |
—
|
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: Schloss Johannisberg vineyard | Statement: [Rheingau wine region, containsVineyard, Schloss Johannisberg vineyard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsVineyard Context triple: [Rheingau wine region, containsVineyard, Schloss Johannisberg vineyard]
-
A.
hasVineyards
chosen
Indicates that one entity possesses, contains, or is associated with vineyards used for growing grapevines.
-
B.
hasVineyardType
Indicates the specific type or classification of a vineyard associated with an entity.
-
C.
vineyardName
Indicates the specific name assigned to a vineyard in the relationship.
-
D.
hasVineyardsNear
Indicates that one entity possesses or is associated with vineyards located in close geographic proximity to another entity.
-
E.
hasWalledVineyard
Indicates that an entity possesses or is associated with a vineyard that is enclosed or surrounded by walls.
- 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: April 29, 2026, 8:48 p.m.