Triple
T17727957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odra River basin |
E442513
|
entity |
| Predicate | hasMajorTributary |
P415
|
FINISHED |
| Object | Nysa Kłodzka |
—
|
NE NERFINISHED |
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: [Odra River basin, hasMajorTributary, Nysa Kłodzka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nysa Kłodzka Context triple: [Odra River basin, hasMajorTributary, 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.
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.
-
C.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
D.
Krzna
Krzna is a river in eastern Poland that flows through the Lublin region before joining the Bug River.
-
E.
Skawica
Skawica is a village in southern Poland, located in the Lesser Poland Voivodeship within the administrative district of powiat suski.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e3cb708190b47456ad2008a65e |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:07 a.m.