Triple
T10449770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lusatian Neisse |
E246387
|
entity |
| Predicate | hasLeftTributary |
P415
|
FINISHED |
| Object |
Smědá
Smědá is a river in Central Europe that flows through the Czech Republic and Poland before joining the Lusatian Neisse.
|
E863306
|
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: Smědá | Statement: [Lusatian Neisse, hasLeftTributary, Smědá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smědá Context triple: [Lusatian Neisse, hasLeftTributary, Smědá]
-
A.
Kráľovský Chlmec
Kráľovský Chlmec is a small town in southern Slovakia known for its predominantly Hungarian-speaking population and its location near the borders with Hungary and Ukraine.
-
B.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
C.
Sedova
Sedova is a Russian surname most notably associated with revolutionary figure Natalia Sedova, the second wife of Leon Trotsky.
-
D.
Cvalda
"Cvalda" is an industrial, rhythm-driven musical number from the film "Dancer in the Dark," known for its clattering factory sounds and choreographed machinery.
-
E.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
- 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: Smědá Triple: [Lusatian Neisse, hasLeftTributary, Smědá]
Generated description
Smědá is a river in Central Europe that flows through the Czech Republic and Poland before joining the Lusatian Neisse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smědá Target entity description: Smědá is a river in Central Europe that flows through the Czech Republic and Poland before joining the Lusatian Neisse.
-
A.
Kráľovský Chlmec
Kráľovský Chlmec is a small town in southern Slovakia known for its predominantly Hungarian-speaking population and its location near the borders with Hungary and Ukraine.
-
B.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
C.
Sedova
Sedova is a Russian surname most notably associated with revolutionary figure Natalia Sedova, the second wife of Leon Trotsky.
-
D.
Cvalda
"Cvalda" is an industrial, rhythm-driven musical number from the film "Dancer in the Dark," known for its clattering factory sounds and choreographed machinery.
-
E.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe09af04819083db42f4de4cb0a9 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87efedf6c8190aa4b7bbe5f160eeb |
completed | April 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69d886c562c081908aae846da8efb1a5 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dce21448190b093b4f548e29f84 |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:17 p.m.