Triple
T19548878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schneefernerkopf |
E489145
|
entity |
| Predicate | hasNamePart |
P5298
|
FINISHED |
| Object | Schneeferner |
—
|
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: Schneeferner | Statement: [Schneefernerkopf, hasNamePart, Schneeferner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schneeferner Context triple: [Schneefernerkopf, hasNamePart, Schneeferner]
-
A.
Schneeferner
chosen
Schneeferner is a small alpine glacier located on Germany’s highest mountain, the Zugspitze, and is one of the country’s last remaining glaciers.
-
B.
Schneefernerkopf
Schneefernerkopf is a prominent peak in the Bavarian Alps near Germany’s highest mountain, Zugspitze, known for its rugged terrain and alpine scenery.
-
C.
Fineilspitze
Fineilspitze is a prominent mountain peak in the Ötztal Alps of Tyrol, Austria, popular with hikers and mountaineers.
-
D.
Parrotspitze
Parrotspitze is a prominent Alpine peak exceeding 4,000 meters in elevation, located in the Pennine Alps on the border between Italy and Switzerland.
-
E.
Edelweissspitze
Edelweissspitze is a prominent mountain summit in the Austrian Alps known for its panoramic viewpoints over the surrounding high alpine landscape.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2e5e588190ac3a6f612d4fb54b |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.