Triple
T17456745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sněžka |
E425049
|
entity |
| Predicate | hasPolishName |
P15778
|
FINISHED |
| Object | Śnieżka |
—
|
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: Śnieżka | Statement: [Sněžka, hasPolishName, Śnieżka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Śnieżka Context triple: [Sněžka, hasPolishName, Śnieżka]
-
A.
Śnieżka
chosen
Śnieżka is a prominent mountain peak on the border of Poland and the Czech Republic, renowned as the tallest summit in the Sudetes range and a popular hiking destination.
-
B.
Śnieżnica
Śnieżnica is a mountain peak in southern Poland, located in the Beskid Wyspowy range and popular for hiking and winter sports.
-
C.
Śnieżnik
Śnieżnik is a prominent mountain on the Polish–Czech border, known for its scenic alpine landscapes and popular hiking trails.
-
D.
Снежная
Снежная is a river in Russia known for flowing through the Siberian region and contributing to the local freshwater system and ecosystems.
-
E.
Snoge
Snoge is the historic 17th-century Portuguese-Israelite synagogue in Amsterdam, renowned as one of the oldest and best-preserved Sephardic synagogues in Europe.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45142b08481908cdd290692d796c3 |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.