Triple
T21326422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salzburg Alps |
E525768
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tennengebirge |
—
|
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: Tennengebirge | Statement: [Salzburg Alps, contains, Tennengebirge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tennengebirge Context triple: [Salzburg Alps, contains, Tennengebirge]
-
A.
Tennengebirge
chosen
Tennengebirge is a limestone mountain range in the Northern Limestone Alps of Austria, known for its extensive karst plateaus and caves.
-
B.
Shar Mountains
The Shar Mountains are a rugged mountain range in the Balkans, spanning parts of North Macedonia, Kosovo, and Albania, known for their high peaks, glacial lakes, and rich biodiversity.
-
C.
Black Mountains
The Black Mountains are a prominent mountain range in western North Carolina, USA, known for containing the highest peaks in the eastern United States.
-
D.
Black Mountains
The Black Mountains are a rugged, dark-hued mountain range in Death Valley National Park, California, known for their stark desert landscapes and dramatic relief.
-
E.
Black Mountains
The Black Mountains are a range of hills and mountains in southeast Wales and the Welsh–English border, known for their rugged landscapes, open moorland, and popular hiking routes.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab49aa48819083b3793657903216 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:41 p.m.