Triple
T14170461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skellefteå |
E351191
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Skellefte River |
E1082958
|
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: Skellefte River | Statement: [Skellefteå, hasRiver, Skellefte River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skellefte River Context triple: [Skellefteå, hasRiver, Skellefte River]
-
A.
Skellefte River
chosen
The Skellefte River is a major river in northern Sweden that flows through Västerbotten County to the Gulf of Bothnia and has historically supported regional mining, hydropower, and settlement.
-
B.
Ångerman River
The Ångerman River is a major river in northern Sweden known for its long course through forested landscapes before emptying into the Gulf of Bothnia.
-
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.
Eskilstunaån
Eskilstunaån is a river in central Sweden that drains Lake Hjälmaren and flows westward through the city of Eskilstuna toward Lake Mälaren.
-
E.
Byälven
Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193dbbcc819082043d92c174164c |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:01 a.m.