Triple
T13039943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kopřivnice |
E327165
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Lubenka stream
Lubenka stream is a small watercourse in the Moravian-Silesian Region of the Czech Republic that flows through the town of Kopřivnice.
|
E1017198
|
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: Lubenka stream | Statement: [Kopřivnice, locatedOn, Lubenka stream]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lubenka stream Context triple: [Kopřivnice, locatedOn, Lubenka stream]
-
A.
Dolgoch stream
Dolgoch stream is a small watercourse in Gwynedd, Wales, known for flowing through the scenic Dolgoch Falls area near the Talyllyn Railway.
-
B.
Garadna stream
Garadna stream is a small watercourse in northeastern Hungary that flows through the Bükk Mountains and feeds the scenic Hámori Lake near Lillafüred.
-
C.
Čáslavka stream
Čáslavka stream is a small watercourse in the Czech Republic that flows through and gives its name to the town of Čáslav.
-
D.
Drnový Stream
Drnový Stream is a small watercourse in the Plzeň Region of the Czech Republic that flows through the town of Klatovy.
-
E.
Arugot Stream
Arugot Stream is a desert canyon watercourse in Israel’s Ein Gedi area, known for its year-round flow, waterfalls, and popular hiking trails in the Judean Desert.
- 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: Lubenka stream Triple: [Kopřivnice, locatedOn, Lubenka stream]
Generated description
Lubenka stream is a small watercourse in the Moravian-Silesian Region of the Czech Republic that flows through the town of Kopřivnice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lubenka stream Target entity description: Lubenka stream is a small watercourse in the Moravian-Silesian Region of the Czech Republic that flows through the town of Kopřivnice.
-
A.
Dolgoch stream
Dolgoch stream is a small watercourse in Gwynedd, Wales, known for flowing through the scenic Dolgoch Falls area near the Talyllyn Railway.
-
B.
Garadna stream
Garadna stream is a small watercourse in northeastern Hungary that flows through the Bükk Mountains and feeds the scenic Hámori Lake near Lillafüred.
-
C.
Čáslavka stream
Čáslavka stream is a small watercourse in the Czech Republic that flows through and gives its name to the town of Čáslav.
-
D.
Drnový Stream
Drnový Stream is a small watercourse in the Plzeň Region of the Czech Republic that flows through the town of Klatovy.
-
E.
Arugot Stream
Arugot Stream is a desert canyon watercourse in Israel’s Ein Gedi area, known for its year-round flow, waterfalls, and popular hiking trails in the Judean Desert.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804d8e3081909584c93df099859a |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd2f6a481909fdd418e7ad3cc22 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cd0d21e08190855dcbee000fc25d |
completed | May 3, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce6b220c8190b1f49a9b2bfce692 |
completed | May 3, 2026, 4:26 a.m. |
Created at: April 9, 2026, 8:55 p.m.