Triple
T23282980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stans |
E588915
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Ennetbürgen |
—
|
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: Ennetbürgen | Statement: [Stans, hasNeighboringMunicipality, Ennetbürgen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ennetbürgen Context triple: [Stans, hasNeighboringMunicipality, Ennetbürgen]
-
A.
Ennetbürgen
chosen
Ennetbürgen is a Swiss lakeside municipality known for its scenic location on Lake Lucerne and proximity to Mount Bürgenstock in central Switzerland.
-
B.
Ennetmoos
Ennetmoos is a small Swiss municipality in the canton of Nidwalden, known for its rural character and scenic Alpine surroundings.
-
C.
Bürglen
Bürglen is a Swiss municipality in the alpine canton of Uri, known for its mountainous landscape and traditional rural character.
-
D.
Untereggen
Untereggen is a small Swiss municipality in the canton of St. Gallen, known for its rural character and location in the country’s northeastern region.
-
E.
Chrüzegg
Chrüzegg is a mountain in the Swiss Prealps, popular for hiking and panoramic views over northeastern Switzerland.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196447a748190bd797ec9baa63fc3 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:58 p.m.