Triple
T17591232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lungern |
E428451
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Hofstetten bei Brienz |
—
|
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: Hofstetten bei Brienz | Statement: [Lungern, hasNeighboringMunicipality, Hofstetten bei Brienz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hofstetten bei Brienz Context triple: [Lungern, hasNeighboringMunicipality, Hofstetten bei Brienz]
-
A.
Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
-
B.
Stetten (Schaffhausen)
Stetten (Schaffhausen) is a small municipality in the canton of Schaffhausen in northern Switzerland, near the German border.
-
C.
Altishofen
Altishofen is a municipality in the canton of Lucerne in central Switzerland, situated in the Wigger river valley.
-
D.
Oberried am Brienzersee
chosen
Oberried am Brienzersee is a small lakeside municipality on the shores of Lake Brienz in the canton of Bern, Switzerland, known for its scenic alpine setting.
-
E.
Neuenhof
Neuenhof is a municipality in the canton of Aargau in northern Switzerland, situated in the Limmat Valley near the city of Baden.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e6e3888190b73a5b6d7e8c0a55 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.