Triple
T22770306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goms |
E563536
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Münster-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: Münster-Geschinen | Statement: [Goms, contains, Münster-Geschinen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Münster-Geschinen Context triple: [Goms, contains, Münster-Geschinen]
-
A.
Münster-Geschinen
chosen
Münster-Geschinen is a small alpine village in the Swiss canton of Valais, known for its traditional wooden houses and location in the upper Rhone valley.
-
B.
Münsterlingen
Münsterlingen is a municipality in the canton of Thurgau in northeastern Switzerland, situated on the southern shore of Lake Constance.
-
C.
Mündershausen
Mündershausen is a small village and district of the town Rotenburg an der Fulda in the state of Hesse, Germany.
-
D.
Rüdinghausen
Rüdinghausen is a district of the city of Witten in North Rhine-Westphalia, Germany, characterized by its residential areas and local amenities.
-
E.
Gummersbach
Gummersbach is a town in North Rhine-Westphalia, Germany, known as a regional center in the Bergisches Land and a location for higher education and industry.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b5cea44819097290351da9c488d |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.