Triple
T13414346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lütschine |
E313169
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Zweilütschinen |
E1060550
|
NE 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: Zweilütschinen | Statement: [Lütschine, nearbySettlement, Zweilütschinen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zweilütschinen Context triple: [Lütschine, nearbySettlement, Zweilütschinen]
-
A.
Zweilütschinen
chosen
Zweilütschinen is a small Swiss village in the Bernese Oberland, known as a key railway junction and gateway to the Lauterbrunnen and Grindelwald valleys.
-
B.
Meisterschwanden
Meisterschwanden is a municipality in the Swiss canton of Aargau, known for its scenic location near Lake Hallwil and its rural, lakeside character.
-
C.
Sihlwald
Sihlwald is a large forest and nature reserve near Zurich, Switzerland, known for its protected, near-natural woodland and recreational hiking trails.
-
D.
Elbigenalp
Elbigenalp is a picturesque village in the Austrian state of Tyrol, known for its alpine scenery and traditional woodcarving craftsmanship.
-
E.
Gimmelwald
Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb556948190af008c88e5bbf051 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b05a6d808190bae503b177816718 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:39 p.m.