Triple
T4248222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krkonoše Mountains |
E95579
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sněžka |
E425049
|
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: Sněžka | Statement: [Krkonoše Mountains, contains, Sněžka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sněžka Context triple: [Krkonoše Mountains, contains, Sněžka]
-
A.
Sněžka
chosen
Sněžka is the highest mountain in the Czech Republic, located on the border with Poland in the Krkonoše range.
-
B.
Wildspitze
Wildspitze is a prominent mountain in the Ötztal Alps of Tyrol, Austria, known as one of the country's highest and most popular alpine climbing peaks.
-
C.
Grossglockner
Grossglockner is the tallest mountain in Austria and a prominent peak of the Hohe Tauern range in the Central Eastern Alps.
-
D.
Watzmann
Watzmann is a prominent mountain massif in the Bavarian Alps, renowned for its striking peaks and dramatic presence above the town of Berchtesgaden.
-
E.
Veľká Fatra
Veľká Fatra is a large, forested mountain range in Slovakia known for its rugged limestone peaks, deep valleys, and protected national park 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9cb71481909b4baa370193148f |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b780e0dc81909e63ac4ca1dd0a76 |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:06 p.m.