Triple
T32007089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neustadt an der Donau |
E817297
|
entity |
| Predicate | locatedInWineOrBeerRegion |
P171217
|
FINISHED |
| Object | Hallertau hop-growing region |
E858373
|
NE 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: Hallertau hop-growing region | Statement: [Neustadt an der Donau, locatedInWineOrBeerRegion, Hallertau hop-growing region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInWineOrBeerRegion Context triple: [Neustadt an der Donau, locatedInWineOrBeerRegion, Hallertau hop-growing region]
-
A.
isInWineOrBeerRegion
chosen
Indicates that something is located within a geographic area known for producing wine or beer.
-
B.
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.
-
C.
alsoProducesWineIn
Indicates that the subject, in addition to other products or activities, produces wine in the specified location or context.
-
D.
wineRegion
Indicates the geographical region or area where a particular wine is produced or originates.
-
E.
notableWineRegionCountry
Indicates that a country is recognized as a notable or significant wine-producing region.
- F. None of above.
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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a020243e2b4819086dbfdcf4372405e |
completed | May 11, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2eb16575808190a2a370b3b64c9167 |
completed | June 14, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_6a0200f585bc8190b774c54cec409b00 |
completed | May 11, 2026, 4:16 p.m. |
Created at: May 1, 2026, 12:15 a.m.