Triple
T18927310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klausen |
E463007
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Klausen |
—
|
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: Klausen | Statement: [Klausen, officialName, Klausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klausen Context triple: [Klausen, officialName, Klausen]
-
A.
Klausen
chosen
Klausen is a small historic town in South Tyrol, northern Italy, known for its picturesque Alpine setting and medieval charm.
-
B.
Wyssachen
Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
-
C.
Bollingen
Bollingen is a small Swiss locality on the shores of Lake Zurich, known for its rural character and scenic lakeside setting.
-
D.
Meinwald
Meinwald is a surname most notably associated with individuals such as J. Meinwald, an American chemist recognized for his contributions to organic chemistry.
-
E.
Kiental
Kiental is a picturesque alpine valley and village in the Bernese Oberland region of Switzerland, known for its dramatic mountain scenery and hiking opportunities.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9bc36588190ae9cc3b8abf8afd4 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.