Triple
T20029540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergstraße wine-growing area |
E495083
|
entity |
| Predicate | locatedAlong |
P2409
|
FINISHED |
| Object | Bergstraße |
—
|
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: Bergstraße | Statement: [Bergstraße wine-growing area, locatedAlong, Bergstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergstraße Context triple: [Bergstraße wine-growing area, locatedAlong, Bergstraße]
-
A.
Bergstraße
chosen
Bergstraße is a scenic region in southwestern Germany, famed for its mild climate, wine-growing landscapes, and picturesque towns along the western edge of the Odenwald.
-
B.
Fischbachtal
Fischbachtal is a small municipality in southern Hesse, Germany, known for its rural landscape and the historic Lichtenberg Castle.
-
C.
Vorbach
Vorbach is a small river in Germany that serves as a tributary of the Tauber.
-
D.
Wahnbach
Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
-
E.
Duenweg
Duenweg is a small city located in Jasper County in southwestern Missouri, United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.