Triple
T19589526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frutigen-Niedersimmental |
E470193
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Kandergrund |
—
|
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: Kandergrund | Statement: [Frutigen-Niedersimmental, containsMunicipality, Kandergrund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandergrund Context triple: [Frutigen-Niedersimmental, containsMunicipality, Kandergrund]
-
A.
Kandergrund
chosen
Kandergrund is a small Swiss municipality in the Bernese Oberland region, known for its alpine scenery and location in the Kandertal valley.
-
B.
Krattigen
Krattigen is a Swiss municipality in the canton of Bern, known for its scenic location above Lake Thun in the Bernese Oberland.
-
C.
Damkina
Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
-
D.
Schindellegi
Schindellegi is a village in the municipality of Feusisberg in the canton of Schwyz, Switzerland, known as a residential community in the greater Zurich area.
-
E.
Godden
Godden is a surname most notably associated with British author Rumer Godden, known for her novels often set in India and exploring complex emotional and cultural themes.
- 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.