Triple
T27827676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gutedel wine |
E703002
|
entity |
| Predicate | producedNear |
P8203
|
FINISHED |
| Object | Black Forest |
—
|
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: Black Forest | Statement: [Gutedel wine, producedNear, Black Forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedNear Context triple: [Gutedel wine, producedNear, Black Forest]
-
A.
producedOn
Indicates that something was created, manufactured, or brought into existence at a specific date or time.
-
B.
occursNear
chosen
Indicates that one event or entity takes place or exists in close spatial proximity to another.
-
C.
deliveredNear
Indicates that one entity was delivered to a location that is geographically close to, but not necessarily exactly at, another specified entity or reference point.
-
D.
operatedNear
Indicates that one entity performed an operation or activity in close physical proximity to another entity.
-
E.
isProducedIn
Indicates that something is created, manufactured, or generated within a particular place, context, or process.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 27, 2026, 5:53 p.m.