Triple
T21315317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilder Freiger |
E525453
|
entity |
| Predicate | hasGlacier |
P4580
|
FINISHED |
| Object | Fernerstube |
—
|
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: Fernerstube | Statement: [Wilder Freiger, hasGlacier, Fernerstube]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fernerstube Context triple: [Wilder Freiger, hasGlacier, Fernerstube]
-
A.
Fernerstube
chosen
Fernerstube is a glacier located on the slopes of the Zuckerhütl peak in the Stubai Alps of Tyrol, Austria.
-
B.
Unterdießen
Unterdießen is a small municipality in the district of Landsberg am Lech in Bavaria, Germany.
-
C.
Am Hof
Am Hof is a historic square in Vienna’s Innere Stadt district, known for its medieval origins, notable architecture, and role as a former center of civic and religious life.
-
D.
Haus am Horn
Haus am Horn is a pioneering early Bauhaus model house in Weimar, Germany, designed in 1923 to showcase modernist architecture and functional living.
-
E.
Torfhaus
Torfhaus is a small settlement and popular tourist base in the Harz Mountains of Germany, known for its hiking trails and views of the Brocken.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dcf2534819097abbb2e9559e791 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:28 p.m.