Triple
T18413749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumla Municipality |
E441832
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Kvarntorp |
—
|
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: Kvarntorp | Statement: [Kumla Municipality, containsSettlement, Kvarntorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvarntorp Context triple: [Kumla Municipality, containsSettlement, Kvarntorp]
-
A.
Västertorp
Västertorp is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and public sculptures.
-
B.
Vretstorp
chosen
Vretstorp is a small locality in central Sweden situated within Örebro County.
-
C.
Löttorp
Löttorp is a small village and local service center located on the Baltic Sea island of Öland in southeastern Sweden.
-
D.
Kärrtorp
Kärrtorp is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to green areas.
-
E.
Hägersten
Hägersten is a residential district in southern Stockholm, Sweden, known for its mix of apartment blocks, green areas, and proximity to the city center.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a26d268819098e6791dc98efcda |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.