Triple
T37272266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Württemberg wine region |
E924544
|
entity |
| Predicate | vineyardsLocatedAlong |
P124617
|
FINISHED |
| Object | Neckar valley |
—
|
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: Neckar valley | Statement: [Württemberg wine region, vineyardsLocatedAlong, Neckar valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vineyardsLocatedAlong Context triple: [Württemberg wine region, vineyardsLocatedAlong, Neckar valley]
-
A.
vineyardLocation
Indicates the geographical place where a vineyard is situated or established.
-
B.
hasVineyardsNear
chosen
Indicates that one entity possesses or is associated with vineyards located in close geographic proximity to another entity.
-
C.
hasVineyards
Indicates that one entity possesses, contains, or is associated with vineyards used for growing grapevines.
-
D.
wineryLocation
Indicates that a winery is located in or associated with a specific geographic place or region.
-
E.
vineyardName
Indicates the specific name assigned to a vineyard in the relationship.
- 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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.