Triple
T10257403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neisse River |
E240507
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Nysa Łużycka
Nysa Łużycka is a Central European river that forms part of the border between Germany and Poland before flowing into the Oder River.
|
E854114
|
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: Nysa Łużycka | Statement: [Neisse River, hasAlternativeName, Nysa Łużycka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nysa Łużycka Context triple: [Neisse River, hasAlternativeName, Nysa Łużycka]
-
A.
Nysa Kłodzka
Nysa Kłodzka is a river in southwestern Poland that flows through the Kłodzko Valley and Silesia before joining the Oder.
-
B.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
C.
Głuszyna
Głuszyna is a locality in present-day Poland known as the birthplace of the 19th-century Polish explorer and geologist Paweł Edmund Strzelecki.
-
D.
Dolina Kościeliska
Dolina Kościeliska is a popular scenic valley in the Polish Tatra Mountains, known for its dramatic limestone gorges, caves, and hiking trails.
-
E.
Supraśl
Supraśl is a small historic spa town in northeastern Poland, known for its Orthodox monastery complex and picturesque setting along the Supraśl River.
- 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: Nysa Łużycka Triple: [Neisse River, hasAlternativeName, Nysa Łużycka]
Generated description
Nysa Łużycka is a Central European river that forms part of the border between Germany and Poland before flowing into the Oder River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nysa Łużycka Target entity description: Nysa Łużycka is a Central European river that forms part of the border between Germany and Poland before flowing into the Oder River.
-
A.
Nysa Kłodzka
Nysa Kłodzka is a river in southwestern Poland that flows through the Kłodzko Valley and Silesia before joining the Oder.
-
B.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
C.
Głuszyna
Głuszyna is a locality in present-day Poland known as the birthplace of the 19th-century Polish explorer and geologist Paweł Edmund Strzelecki.
-
D.
Dolina Kościeliska
Dolina Kościeliska is a popular scenic valley in the Polish Tatra Mountains, known for its dramatic limestone gorges, caves, and hiking trails.
-
E.
Supraśl
Supraśl is a small historic spa town in northeastern Poland, known for its Orthodox monastery complex and picturesque setting along the Supraśl River.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24de4588190b68fb3daa36dbd7d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7e153b0819084708b6f7127cdea |
completed | April 9, 2026, 12:50 a.m. |
| NEDg | Description generation | batch_69d6fcab0bfc8190b47bc165ef3eb15d |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d70fc3b15081908d1b67a7094c6210 |
completed | April 9, 2026, 2:32 a.m. |
Created at: April 6, 2026, 11:31 a.m.