Triple
T19800153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beinwil am See |
E475650
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Birrwil |
—
|
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: Birrwil | Statement: [Beinwil am See, neighboringMunicipality, Birrwil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birrwil Context triple: [Beinwil am See, neighboringMunicipality, Birrwil]
-
A.
Birrwil
chosen
Birrwil is a small Swiss municipality in the canton of Aargau, known for its scenic location on the shores of Lake Hallwil.
-
B.
Irlbach
Irlbach is a small municipality in the Straubing-Bogen district of Bavaria, Germany, situated along the Danube River.
-
C.
Bannwil
Bannwil is a small Swiss municipality in the canton of Bern, situated in the Oberaargau region.
-
D.
Borenore
Borenore is a small rural locality in the Central West region of New South Wales, Australia, known for its agricultural surroundings and nearby limestone caves.
-
E.
Wilsede
Wilsede is a small village in the Lüneburg Heath region of Lower Saxony, Germany, known for its well-preserved heathland landscape and traditional car-free character.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cb865c81909696d2b37476f62f |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.