Triple
T19765480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zillertal Railway |
E474741
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Mayrhofen im Zillertal |
—
|
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 im Zillertal | Statement: [Zillertal Railway, terminus, Mayrhofen im Zillertal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayrhofen im Zillertal Context triple: [Zillertal Railway, terminus, Mayrhofen im Zillertal]
-
A.
Mayrhofen
chosen
Mayrhofen is a popular Austrian alpine resort town known for skiing, hiking, and access to the Zillertal Alps.
-
B.
Saalbach-Hinterglemm
Saalbach-Hinterglemm is a well-known Austrian alpine resort village famed for its extensive skiing, snowboarding, and mountain biking opportunities.
-
C.
Seefeld in Tirol
Seefeld in Tirol is an Austrian alpine resort town renowned for its winter sports facilities and role as a host location for Olympic Nordic skiing events.
-
D.
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.
-
E.
Obergurgl
Obergurgl is a high-altitude Austrian alpine village and ski resort in the Ötztal Alps, known for its reliable snow and extensive winter sports facilities.
- 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.