Triple
T16460179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolligen |
E399785
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Vechigen |
E437440
|
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: Vechigen | Statement: [Bolligen, hasNeighboringMunicipality, Vechigen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vechigen Context triple: [Bolligen, hasNeighboringMunicipality, Vechigen]
-
A.
Vechigen
chosen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
B.
Voitsberg
Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
-
C.
Vohenstrauß
Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
-
D.
Horgau
Horgau is a small municipality in the Swabian region of Bavaria in southern Germany.
-
E.
Irschenberg
Irschenberg is a Bavarian municipality in southern Germany known for its scenic location in the Alpine foothills and its prominent motorway ascent on the A8 between Munich and Salzburg.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607618c8819090fc9f18ae5f30dd |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:10 a.m.