Triple
T15250927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elbsandsteingebirge |
E364515
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Děčínský Sněžník |
E364513
|
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: Děčínský Sněžník | Statement: [Elbsandsteingebirge, highestPoint, Děčínský Sněžník]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Děčínský Sněžník Context triple: [Elbsandsteingebirge, highestPoint, Děčínský Sněžník]
-
A.
Děčínský Sněžník
chosen
Děčínský Sněžník is a prominent table mountain in the Czech Republic known for its sandstone cliffs and panoramic views over the surrounding Elbe Sandstone landscape.
-
B.
Śnieżnik
Śnieżnik is a prominent mountain on the Polish–Czech border, known for its scenic alpine landscapes and popular hiking trails.
-
C.
Zátopek
Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
-
D.
Ruzinov
Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
-
E.
Śnieżka
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.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f728648190b2c86e4528542b65 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f390bc8190bc0180c118e1523c |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:13 a.m.