Triple
T9092334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kłodzko |
E217920
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Nysa Kłodzka |
E150837
|
NE FINISHED |
How this triple was built (2 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 Kłodzka | Statement: [Kłodzko, locatedOnRiver, Nysa Kłodzka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nysa Kłodzka Context triple: [Kłodzko, locatedOnRiver, Nysa Kłodzka]
-
A.
Nysa Kłodzka
chosen
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.
Dolina Kościeliska
Dolina Kościeliska is a popular scenic valley in the Polish Tatra Mountains, known for its dramatic limestone gorges, caves, and hiking trails.
-
D.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
E.
Wiślica
Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b18b24819097b525ddad3a85c0 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017f85c908190a4e90c22a75348b5 |
completed | April 3, 2026, 7:41 p.m. |
Created at: March 30, 2026, 7:14 p.m.