Triple
T9876160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svratka |
E240077
|
entity |
| Predicate | hasLeftTributary |
P415
|
FINISHED |
| Object |
Bobrůvka
Bobrůvka is a river in the Czech Republic that flows through the Vysočina and South Moravian regions before joining the Svratka River.
|
E840207
|
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: Bobrůvka | Statement: [Svratka, hasLeftTributary, Bobrůvka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobrůvka Context triple: [Svratka, hasLeftTributary, Bobrůvka]
-
A.
Brněnec
Brněnec is a village in the Czech Republic known as the location of Oskar Schindler’s factory where many Jewish workers, later called the Schindlerjuden, were saved during the Holocaust.
-
B.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
C.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
-
D.
Zbyhněv
Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
-
E.
Pálava
Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
- 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: Bobrůvka Triple: [Svratka, hasLeftTributary, Bobrůvka]
Generated description
Bobrůvka is a river in the Czech Republic that flows through the Vysočina and South Moravian regions before joining the Svratka River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bobrůvka Target entity description: Bobrůvka is a river in the Czech Republic that flows through the Vysočina and South Moravian regions before joining the Svratka River.
-
A.
Brněnec
Brněnec is a village in the Czech Republic known as the location of Oskar Schindler’s factory where many Jewish workers, later called the Schindlerjuden, were saved during the Holocaust.
-
B.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
C.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
-
D.
Zbyhněv
Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
-
E.
Pálava
Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3fb58d481908407898912c4b4e9 |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b5c126c081909a072034fde64a04 |
completed | April 5, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_69d2b741cad481909f04e2f8da68753c |
completed | April 5, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b805afa08190a43745d764a75050 |
completed | April 5, 2026, 7:29 p.m. |
Created at: March 30, 2026, 8:37 p.m.