Triple
T10149628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lądek-Zdrój |
E232595
|
entity |
| Predicate | nearMountainRange |
P651
|
FINISHED |
| Object | Śnieżnik Massif |
E609844
|
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: Śnieżnik Massif | Statement: [Lądek-Zdrój, nearMountainRange, Śnieżnik Massif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Śnieżnik Massif Context triple: [Lądek-Zdrój, nearMountainRange, Śnieżnik Massif]
-
A.
Śnieżnik Massif
chosen
The Śnieżnik Massif is a mountain range in the Eastern Sudetes on the Polish–Czech border, known for its highest peak Śnieżnik and its role as a major watershed area.
-
B.
Three Crowns Massif
Three Crowns Massif is a distinctive limestone peak formation in Poland’s Pieniny Mountains, renowned for its dramatic cliffs and panoramic views over the Dunajec River.
-
C.
Lattengebirge
Lattengebirge is a small mountain range in the Bavarian Alps of southeastern Germany, known for its distinctive rock formations and scenic hiking trails.
-
D.
Ice Mountain
Ice Mountain is a regional bottled water brand in the United States known for its spring water sourced from Midwestern aquifers.
-
E.
Sneeuberge
Sneeuberge is a mountain range in South Africa known for its high peaks, occasional snowfall, and rugged semi-arid landscapes.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec03e80c81909c813dae91c56272 |
completed | April 2, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e6369c848190984394eedf2f07eb |
completed | April 5, 2026, 10:46 p.m. |
Created at: March 30, 2026, 9:08 p.m.