Triple
T21007293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucerne–Wolhusen railway |
E517444
|
entity |
| Predicate | endPoint |
P390
|
FINISHED |
| Object | Wolhusen |
—
|
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: Wolhusen | Statement: [Lucerne–Wolhusen railway, endPoint, Wolhusen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolhusen Context triple: [Lucerne–Wolhusen railway, endPoint, Wolhusen]
-
A.
Wolhusen
chosen
Wolhusen is a municipality in the canton of Lucerne in central Switzerland, known as a regional transport hub and gateway to the Entlebuch region.
-
B.
Sigriswil
Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
-
C.
Neuhausen
Neuhausen is a locality that forms one of the subdivisions of the Bavarian municipality of Metten in Germany.
-
D.
Reisiswil
Reisiswil is a small rural municipality in the Oberaargau region of the canton of Bern in Switzerland.
-
E.
Attiswil
Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3cc8648190b1a419ef734a69e6 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:53 p.m.