Triple
T12318579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klatovy District |
E293668
|
entity |
| Predicate | containsLake |
P1025
|
FINISHED |
| Object |
Čertovo jezero
Čertovo jezero is a glacial lake in the Bohemian Forest of the Czech Republic, known for its scenic setting and associated folk legends.
|
E987639
|
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: Čertovo jezero | Statement: [Klatovy District, containsLake, Čertovo jezero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Čertovo jezero Context triple: [Klatovy District, containsLake, Čertovo jezero]
-
A.
Černé jezero
Černé jezero is the largest and deepest glacial lake in the Czech Republic, located in the Šumava Mountains near the German border.
-
B.
Czarne Lake
Czarne Lake is a small natural lake located near the town of Gołdap in northeastern Poland, within the Masurian lake district region.
-
C.
Weißer See
Weißer See is a small urban lake and popular recreational spot located in Berlin's Weißensee district.
-
D.
Veliki Mokri Lug
Veliki Mokri Lug is a suburban neighborhood and settlement on the outskirts of Belgrade, Serbia.
-
E.
Jasna Lake
Jasna Lake is a picturesque alpine lake in northwestern Slovenia, known for its clear turquoise water and scenic mountain backdrop near the resort town of Kranjska Gora.
- 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: Čertovo jezero Triple: [Klatovy District, containsLake, Čertovo jezero]
Generated description
Čertovo jezero is a glacial lake in the Bohemian Forest of the Czech Republic, known for its scenic setting and associated folk legends.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Čertovo jezero Target entity description: Čertovo jezero is a glacial lake in the Bohemian Forest of the Czech Republic, known for its scenic setting and associated folk legends.
-
A.
Černé jezero
Černé jezero is the largest and deepest glacial lake in the Czech Republic, located in the Šumava Mountains near the German border.
-
B.
Czarne Lake
Czarne Lake is a small natural lake located near the town of Gołdap in northeastern Poland, within the Masurian lake district region.
-
C.
Weißer See
Weißer See is a small urban lake and popular recreational spot located in Berlin's Weißensee district.
-
D.
Veliki Mokri Lug
Veliki Mokri Lug is a suburban neighborhood and settlement on the outskirts of Belgrade, Serbia.
-
E.
Jasna Lake
Jasna Lake is a picturesque alpine lake in northwestern Slovenia, known for its clear turquoise water and scenic mountain backdrop near the resort town of Kranjska Gora.
- 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_69f64b8ed1dc81908a0066d7cbfda086 |
completed | May 2, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69f64d15a97c81909046190f0d0fd986 |
completed | May 2, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64e6d311c8190b851b89e394165d0 |
completed | May 2, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.