Triple
T17745046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergslagen Line |
E442965
|
entity |
| Predicate | connectsSettlement |
P8239
|
FINISHED |
| Object | Ludvika |
—
|
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: Ludvika | Statement: [Bergslagen Line, connectsSettlement, Ludvika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludvika Context triple: [Bergslagen Line, connectsSettlement, Ludvika]
-
A.
Ludvika
chosen
Ludvika is a small industrial town in central Sweden known for its engineering and manufacturing industries, particularly in the power and electrical sectors.
-
B.
Edvarda
Edvarda is a central fictional character in Knut Hamsun’s novel "Pan," known for her complex and tumultuous relationship with the protagonist.
-
C.
Lovisa
Lovisa is a historic coastal town in southern Finland known for its well-preserved wooden architecture and seaside charm.
-
D.
Lojana
Lojana is a term used to refer to a female inhabitant or native of the city of Loja in southern Ecuador.
-
E.
Vilhelmi
Vilhelmi is a given name that serves as an alternative spelling of the name Vilhelm, itself a Scandinavian form of William.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad0c5b481909059bfa868cc4001 |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.