Triple
T12318578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klatovy District |
E293668
|
entity |
| Predicate | containsLake |
P1025
|
FINISHED |
| Object |
Černé jezero
Černé jezero is the largest and deepest glacial lake in the Czech Republic, located in the Šumava Mountains near the German border.
|
E983087
|
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: Černé jezero | Statement: [Klatovy District, containsLake, Černé jezero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Černé jezero Context triple: [Klatovy District, containsLake, Černé jezero]
-
A.
Czarne Lake
Czarne Lake is a small natural lake located near the town of Gołdap in northeastern Poland, within the Masurian lake district region.
-
B.
Svityaz Lake
Svityaz Lake is the deepest and one of the largest natural lakes in Ukraine, renowned for its clear waters and location within the Shatsk National Nature Park.
-
C.
Mikołajskie Lake
Mikołajskie Lake is a scenic body of water in Poland’s Masurian Lake District, popular for boating, sailing, and tourism.
-
D.
Weißer See
Weißer See is a small urban lake and popular recreational spot located in Berlin's Weißensee district.
-
E.
Karymskoye Lake
Karymskoye Lake is a small volcanic crater lake in Russia’s Kamchatka Peninsula, known for its location within the highly active Karymsky volcanic complex.
- 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: Černé jezero Triple: [Klatovy District, containsLake, Černé jezero]
Generated description
Černé jezero is the largest and deepest glacial lake in the Czech Republic, located in the Šumava Mountains near the German border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Černé jezero Target entity description: Černé jezero is the largest and deepest glacial lake in the Czech Republic, located in the Šumava Mountains near the German border.
-
A.
Czarne Lake
Czarne Lake is a small natural lake located near the town of Gołdap in northeastern Poland, within the Masurian lake district region.
-
B.
Svityaz Lake
Svityaz Lake is the deepest and one of the largest natural lakes in Ukraine, renowned for its clear waters and location within the Shatsk National Nature Park.
-
C.
Mikołajskie Lake
Mikołajskie Lake is a scenic body of water in Poland’s Masurian Lake District, popular for boating, sailing, and tourism.
-
D.
Weißer See
Weißer See is a small urban lake and popular recreational spot located in Berlin's Weißensee district.
-
E.
Karymskoye Lake
Karymskoye Lake is a small volcanic crater lake in Russia’s Kamchatka Peninsula, known for its location within the highly active Karymsky volcanic complex.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4ab1b88190979a8403a430a17c |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63eefad508190be266c776525a7cc |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6400fe9888190ae8244ccc8e8bc39 |
completed | May 2, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6416d02008190a9e36658d7194787 |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:53 p.m.