Triple
T31175250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandlstadt |
E794725
|
entity |
| Predicate | isInWineOrBeerRegion |
P171217
|
FINISHED |
| Object | German hop-growing region |
—
|
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: German hop-growing region | Statement: [Nandlstadt, isInWineOrBeerRegion, German hop-growing region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInWineOrBeerRegion Context triple: [Nandlstadt, isInWineOrBeerRegion, German hop-growing region]
-
A.
isInWineOrSpiritsRegion
Indicates that one entity (typically a location or product) is situated within or associated with a designated wine or spirits-producing region of another entity.
-
B.
includesWineProvince
Indicates that one entity (typically a region or collection) contains or encompasses a specific wine-producing province within its scope.
-
C.
passesThroughWineRegion
Indicates that something (such as a route, path, or boundary) traverses or goes through a geographic area recognized as a wine-producing region.
-
D.
wineLawRegionType
Indicates the type or category of legal designation that governs wine production in a particular region.
-
E.
wineRegion
Indicates the geographical region or area where a particular wine is produced or originates.
- 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6f01e881908fa84f5d429d37ae |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:07 p.m.