Triple
T21368937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Zug |
E526997
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Oberägeri |
—
|
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: Oberägeri | Statement: [canton of Zug, hasMunicipality, Oberägeri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberägeri Context triple: [canton of Zug, hasMunicipality, Oberägeri]
-
A.
Oberägeri
chosen
Oberägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
-
B.
Oberkriech
Oberkriech is a locality within the municipality of Thalgau in the Austrian state of Salzburg.
-
C.
Oberönz
Oberönz is a village in the Oberaargau region of the canton of Bern in Switzerland.
-
D.
Ueberstorf
Ueberstorf is a municipality in the canton of Fribourg in western Switzerland, known for its rural character and location near the linguistic border between German- and French-speaking regions.
-
E.
Obertal
Obertal is a village and district of the Black Forest municipality of Baiersbronn in Baden-Württemberg, Germany, known for its scenic landscapes and tourism.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baf5fb4819093f8d8afdd83ffdb |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:09 p.m.