Triple
T19765412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ski- & Gletscherwelt Zillertal 3000 |
E474739
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mayrhofen |
—
|
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: Mayrhofen | Statement: [Ski- & Gletscherwelt Zillertal 3000, near, Mayrhofen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayrhofen Context triple: [Ski- & Gletscherwelt Zillertal 3000, near, Mayrhofen]
-
A.
Mayrhofen
chosen
Mayrhofen is a popular Austrian alpine resort town known for skiing, hiking, and access to the Zillertal Alps.
-
B.
Sölden
Sölden is a renowned Austrian ski resort town in the Ötztal Valley, famous for its extensive alpine skiing, glacier slopes, and role as a regular FIS Alpine Ski World Cup venue.
-
C.
Zell am Ziller
Zell am Ziller is a Tyrolean village in Austria known as a popular base for skiing and outdoor activities in the Zillertal Alps.
-
D.
Saalbach-Hinterglemm
Saalbach-Hinterglemm is a well-known Austrian alpine resort village famed for its extensive skiing, snowboarding, and mountain biking opportunities.
-
E.
St. Anton am Arlberg
St. Anton am Arlberg is a renowned Austrian Alpine village and ski resort famous for its extensive slopes and vibrant après-ski scene.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653226af081909992ff5568bb54a5 |
completed | April 20, 2026, 4:24 p.m. |
Created at: April 10, 2026, 1:48 p.m.