Triple
T8882748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayerische Zugspitzbahn |
E211449
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Eibsee |
E206827
|
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: Eibsee | Statement: [Bayerische Zugspitzbahn, hasStation, Eibsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eibsee Context triple: [Bayerische Zugspitzbahn, hasStation, Eibsee]
-
A.
Eibsee
chosen
Eibsee is a picturesque alpine lake in Bavaria, Germany, renowned for its clear turquoise waters and dramatic setting at the foot of the Zugspitze.
-
B.
Küssnachtersee
Küssnachtersee is a narrow northern arm of Lake Lucerne in central Switzerland, bordered by picturesque lakeside villages and surrounded by gentle pre-Alpine hills.
-
C.
Quenzsee
Quenzsee is a lake in the German state of Brandenburg, located near the city of Brandenburg an der Havel and forming part of the region’s interconnected waterway system.
-
D.
Hintersee
Hintersee is a small Austrian municipality in the state of Salzburg, known for its scenic alpine landscapes and nearby mountain lake.
-
E.
Millstätter See
Millstätter See is a large alpine lake in the Austrian state of Carinthia, known for its clear waters, scenic mountain surroundings, and popular recreational opportunities.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616a01f48190b8bbde0e898a38c7 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc2ca7a081908f597e9a58920d6e |
completed | April 5, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:53 p.m.