Triple
T13630038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moselle valley vineyards |
E325688
|
entity |
| Predicate | notableCountrySection |
P111367
|
FINISHED |
| Object | German Mosel wine 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 Mosel wine region | Statement: [Moselle valley vineyards, notableCountrySection, German Mosel wine region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCountrySection Context triple: [Moselle valley vineyards, notableCountrySection, German Mosel wine region]
-
A.
notableCountry
Indicates that a country holds particular significance or prominence in relation to the subject entity.
-
B.
notableHolderCountry
Indicates that a country is recognized as a significant or notable holder of a particular item, title, record, or distinction.
-
C.
notableNationalityContext
Indicates that the subject’s nationality is notable or contextually relevant in relation to the associated entity or situation.
-
D.
notableProjectCountry
Indicates that a country is associated with a notable project undertaken by the subject.
-
E.
notableNationality
Indicates that an entity is notably associated with a particular nationality, often by origin, citizenship, or cultural identity.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc6043e148190a2a25f929cfa35e5 |
completed | April 12, 2026, 4:19 p.m. |
Created at: April 9, 2026, 9:51 p.m.