Triple
T9487365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semmering Pass |
E228793
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Schneeberg massif |
E238676
|
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: Schneeberg massif | Statement: [Semmering Pass, hasViewOf, Schneeberg massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schneeberg massif Context triple: [Semmering Pass, hasViewOf, Schneeberg massif]
-
A.
Schneeberg
chosen
Schneeberg is a prominent alpine mountain in eastern Austria, known as the easternmost two-thousander of the Alps and a popular destination for hiking and skiing.
-
B.
Weißkamm
Weißkamm is a prominent subrange of the Ötztal Alps in Tyrol, Austria, known for its high glaciated peaks and alpine landscapes.
-
C.
Ruderhofspitze
Ruderhofspitze is a prominent high mountain in the Austrian Tyrol, known as one of the major summits of the Stubai Alps and a popular destination for alpine climbers.
-
D.
Risserkogel
Risserkogel is a prominent mountain peak in the Bavarian Alps of Germany, popular with hikers for its panoramic summit views.
-
E.
Brennkogel
Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c443b88190968d2092a73e1ee4 |
completed | April 1, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152670dcc8190abcaabbd62c97a34 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 7:55 p.m.