Triple
T21813834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Älvkarleby rapids |
E538545
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Skutskär locality |
—
|
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: Skutskär locality | Statement: [Älvkarleby rapids, hasNearbySettlement, Skutskär locality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skutskär locality Context triple: [Älvkarleby rapids, hasNearbySettlement, Skutskär locality]
-
A.
Skutskär
chosen
Skutskär is a locality in Uppsala County, Sweden, known historically for its pulp and paper industry.
-
B.
Skärhamn
Skärhamn is a coastal town in western Sweden known for its fishing heritage, picturesque harbor, and the Nordic Watercolour Museum.
-
C.
Sköllersta
Sköllersta is a locality in central Sweden situated within Örebro County, known as one of the settlements in Hallsberg Municipality.
-
D.
Kärrtorp
Kärrtorp is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to green areas.
-
E.
Skärholmen
Skärholmen is a suburban district in southwestern Stockholm, Sweden, known for its large shopping center and residential areas.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc8e6808190bde4d0e0981e4117 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:54 p.m.