Triple
T22789179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winterberg |
E564061
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kahler Asten |
—
|
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: Kahler Asten | Statement: [Winterberg, locatedNear, Kahler Asten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kahler Asten Context triple: [Winterberg, locatedNear, Kahler Asten]
-
A.
Kahler Asten
chosen
Kahler Asten is a prominent mountain in the Rothaar Mountains of Germany, known for its weather station, hiking trails, and panoramic views.
-
B.
Asten
Asten is a municipality in the Dutch province of North Brabant, known for its proximity to the De Groote Peel National Park and its rural, nature-rich surroundings.
-
C.
Asten
Asten is a municipality in Upper Austria, Austria, situated in the Linz-Land District near the city of Linz.
-
D.
Arison
Arison is a surname most prominently associated with the Israeli-American Arison family, known for its major roles in global business and philanthropy, including leadership of Carnival Corporation.
-
E.
Klepper
Klepper is the surname of American comedian and television host Jordan Klepper, known for his work on political satire programs such as The Daily Show.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c33be7c8190ad22391a85fa000d |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.