Triple
T4248221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krkonoše Mountains |
E95579
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Sněžka
Sněžka is the highest mountain in the Czech Republic, located on the border with Poland in the Krkonoše range.
|
E425049
|
NE FINISHED |
How this triple was built (4 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, highestPoint, Sněžka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sněžka Context triple: [Krkonoše Mountains, highestPoint, Sněžka]
-
A.
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.
-
B.
Grossglockner
Grossglockner is the tallest mountain in Austria and a prominent peak of the Hohe Tauern range in the Central Eastern Alps.
-
C.
Watzmann
Watzmann is a prominent mountain massif in the Bavarian Alps, renowned for its striking peaks and dramatic presence above the town of Berchtesgaden.
-
D.
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.
-
E.
Mount Triglav
Mount Triglav is Slovenia’s highest and most iconic mountain, a national symbol featured on the country’s coat of arms and flag.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sněžka Triple: [Krkonoše Mountains, highestPoint, Sněžka]
Generated description
Sněžka is the highest mountain in the Czech Republic, located on the border with Poland in the Krkonoše range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sněžka Target entity description: Sněžka is the highest mountain in the Czech Republic, located on the border with Poland in the Krkonoše range.
-
A.
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.
-
B.
Grossglockner
Grossglockner is the tallest mountain in Austria and a prominent peak of the Hohe Tauern range in the Central Eastern Alps.
-
C.
Watzmann
Watzmann is a prominent mountain massif in the Bavarian Alps, renowned for its striking peaks and dramatic presence above the town of Berchtesgaden.
-
D.
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.
-
E.
Mount Triglav
Mount Triglav is Slovenia’s highest and most iconic mountain, a national symbol featured on the country’s coat of arms and flag.
- F. None of above. chosen
Provenance (5 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_69b5a87c033881908e0cf9fdfecaf36a |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a925b8e881908338dc0620b18734 |
completed | March 14, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ad224c848190b1ce76d61fc1d564 |
completed | March 14, 2026, 6:46 p.m. |
Created at: March 12, 2026, 11:06 p.m.