Triple
T16480592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grünhornlücke |
E400305
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Jungfrau |
E116753
|
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: Jungfrau | Statement: [Grünhornlücke, near, Jungfrau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jungfrau Context triple: [Grünhornlücke, near, Jungfrau]
-
A.
Jungfrau
chosen
Jungfrau is a prominent and picturesque mountain peak in the Swiss Alps, renowned for its dramatic scenery and status as part of a UNESCO World Heritage Site.
-
B.
Jungfraufirn
Jungfraufirn is a high-altitude glacier in the Bernese Alps of Switzerland, forming part of the glaciated massif around the Jungfrau peak.
-
C.
Jungfraujoch
Jungfraujoch is a high-altitude saddle in the Bernese Alps of Switzerland, famous as a major tourist destination with an observatory and railway station often called the "Top of Europe."
-
D.
Nutzhorn
Nutzhorn is a German-origin surname most notably associated with Dorothea Lange, the influential American documentary photographer born Dorothea Margaretta Nutzhorn.
-
E.
Eiger
Eiger is a famous and formidable mountain in the Swiss Alps, renowned for its steep and challenging north face that has long attracted and tested mountaineers.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e01f6c88190b75a0d6c94786426 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ed4a7008190ab1ad5cbf80dc119 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:13 a.m.