Triple
T14881700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Värmland County |
E350015
|
entity |
| Predicate | hasMajorRiver |
P165
|
FINISHED |
| Object | Klarälven |
E1063085
|
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: Klarälven | Statement: [Värmland County, hasMajorRiver, Klarälven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klarälven Context triple: [Värmland County, hasMajorRiver, Klarälven]
-
A.
Klarälven
chosen
Klarälven is a major river in Norway and Sweden that flows south through Värmland before emptying into Lake Vänern.
-
B.
Dalälven
Dalälven is a major river in central Sweden known for its extensive watershed, hydroelectric power stations, and rich natural and recreational areas.
-
C.
Byälven
Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
-
D.
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.
-
E.
Gavleån
Gavleån is a river in eastern Sweden that flows through the province of Gästrikland to the Gulf of Bothnia, passing the city of Gävle.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b591f3c81909ea8a9217d96e0d2 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:56 a.m.