Triple
T19589528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frutigen-Niedersimmental |
E470193
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Krattigen |
—
|
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: Krattigen | Statement: [Frutigen-Niedersimmental, containsMunicipality, Krattigen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krattigen Context triple: [Frutigen-Niedersimmental, containsMunicipality, Krattigen]
-
A.
Krattigen
chosen
Krattigen is a Swiss municipality in the canton of Bern, known for its scenic location above Lake Thun in the Bernese Oberland.
-
B.
Grunnegs
Grunnegs is the local endonym for the Gronings dialect of Low Saxon spoken in the Dutch province of Groningen and surrounding areas.
-
C.
Kvasten
Kvasten is a suspended family roller coaster at the Gröna Lund amusement park in Stockholm, Sweden.
-
D.
Kragle
The Kragle is a powerful superweapon made from a tube of Krazy Glue that the villain Lord Business uses to freeze the LEGO world in place in *The LEGO Movie*.
-
E.
Drongen
Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64054299481908d83c85cefdab075 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.