Triple
T17591162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucerne region |
E428450
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vitznau |
—
|
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: Vitznau | Statement: [Lucerne region, contains, Vitznau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vitznau Context triple: [Lucerne region, contains, Vitznau]
-
A.
Vitznau
chosen
Vitznau is a picturesque Swiss lakeside village in the canton of Lucerne, known as a gateway to Mount Rigi and a popular destination for scenic tourism on Lake Lucerne.
-
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.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
D.
Disentis
Disentis is a Swiss Alpine village in the canton of Graubünden known for its Benedictine monastery and access to extensive skiing and mountain sports.
-
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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e6e3888190b73a5b6d7e8c0a55 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.