Triple
T18736223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmental Alps |
E458169
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Schangnau |
—
|
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: Schangnau | Statement: [Emmental Alps, hasSettlement, Schangnau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schangnau Context triple: [Emmental Alps, hasSettlement, Schangnau]
-
A.
Schangnau
chosen
Schangnau is a rural Swiss village and municipality in the Emmental region of the canton of Bern, known for its pastoral landscapes and traditional alpine farming.
-
B.
Zauggenried
Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
-
C.
Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Bollschweil
Bollschweil is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau in the scenic Breisgau area at the edge of the Black Forest.
-
E.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57689fa508190ad821d361cba9edf |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.