Triple
T7069356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyköping |
E164645
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Nyköpingsån river |
E593295
|
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: Nyköpingsån river | Statement: [Nyköping, locatedOn, Nyköpingsån river]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyköpingsån river Context triple: [Nyköping, locatedOn, Nyköpingsån river]
-
A.
Nyköpingsån river
chosen
Nyköpingsån river is a watercourse in southeastern Sweden that flows through the town of Nyköping before emptying into the Baltic Sea.
-
B.
Österdalälven River
The Österdalälven River is a major watercourse in central Sweden that flows through the Dalarna region and joins with the Västerdalälven to form the Dalälven.
-
C.
Rönne River
The Rönne River is a significant watercourse in southern Sweden that flows through the province of Skåne before emptying into the Skälderviken bay of the Kattegat.
-
D.
Stångån river
Stångån river is a watercourse in southern Sweden that flows through the city of Linköping before eventually joining the larger Kinda Canal and Motala Ström system.
-
E.
Trosaån
Trosaån is a small river in eastern Sweden that flows through the town of Trosa and into the Baltic Sea, known for its scenic, tranquil character.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4aa82108190bacd5584c1c78999 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794552c108190adfbbcae38c91a28 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:39 p.m.