Triple
T16863045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disentis/Mustér |
E409968
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Disentis |
E1002205
|
NE FINISHED |
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: Disentis | Statement: [Disentis/Mustér, hasGermanName, Disentis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Disentis Context triple: [Disentis/Mustér, hasGermanName, Disentis]
-
A.
Disentis
chosen
Disentis is a Swiss Alpine village in the canton of Graubünden known for its Benedictine monastery and access to extensive skiing and mountain sports.
-
B.
Sursee
Sursee is a historic Swiss town in the canton of Lucerne, known for its well-preserved medieval old town and scenic setting near Lake Sempach.
-
C.
Selzach
Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
-
D.
Weggis
Weggis is a picturesque lakeside resort town in central Switzerland, known for its mild climate, scenic views of the Alps, and tourism on the shores of Lake Lucerne.
-
E.
Spreitenbach
Spreitenbach is a municipality in the canton of Aargau in northern Switzerland, known for its large shopping centers and proximity to the city of Zurich.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50488fc8190b3b646543c3ba476 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139e8e5648190bf46245fad7efd77 |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:24 a.m.