Triple
T5034054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorarlberg |
E113376
|
entity |
| Predicate | hasMountainRange |
P651
|
FINISHED |
| Object | Rätikon |
E486349
|
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: Rätikon | Statement: [Vorarlberg, hasMountainRange, Rätikon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rätikon Context triple: [Vorarlberg, hasMountainRange, Rätikon]
-
A.
Rätikon
chosen
Rätikon is a mountain range in the Central Eastern Alps, spanning parts of Switzerland, Liechtenstein, and Austria, known for its rugged limestone peaks and popular hiking and climbing routes.
-
B.
Rossikon
Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
-
C.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
-
D.
Seebruck
Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
-
E.
Kleine Brenz
Kleine Brenz is a small river in southern Germany that serves as a tributary of the Brenz.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b8646c8190b3cc20193e4639ee |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea477efec8190a84a0186f5517a43 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:36 p.m.