Triple
T22600604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münster-Geschinen |
E574805
|
entity |
| Predicate | mergerOf |
P402
|
FINISHED |
| Object | Geschinen |
—
|
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: Geschinen | Statement: [Münster-Geschinen, mergerOf, Geschinen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geschinen Context triple: [Münster-Geschinen, mergerOf, Geschinen]
-
A.
Geschinen
chosen
Geschinen is a small Swiss village in the canton of Valais, known for its traditional alpine character and scenic mountain surroundings.
-
B.
Seewald
Seewald is a rural municipality in the Black Forest region of Baden-Württemberg, Germany, known for its forests, lakes, and outdoor recreation.
-
C.
Burgäschi
Burgäschi is a small Swiss locality known for its proximity to Lake Burgäschi, a scenic lake popular for recreation and nature activities.
-
D.
Genthod
Genthod is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
-
E.
Schlarigna
Schlarigna is the Romansh name for the Swiss alpine village and resort town of Celerina in the Upper Engadine region of Graubünden.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626c6ce08190b991e89b12c67a5a |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:50 p.m.