Triple
T22603878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kragstalund station |
E574903
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kragstalund |
—
|
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: Kragstalund | Statement: [Kragstalund station, locatedIn, Kragstalund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kragstalund Context triple: [Kragstalund station, locatedIn, Kragstalund]
-
A.
Kragstalund
chosen
Kragstalund is a residential locality situated within Vallentuna Municipality in Stockholm County, Sweden.
-
B.
Kroksund
Kroksund is a small village in the municipality of Hole in Buskerud county, Norway.
-
C.
Pellinge
Pellinge is a small island village in the Pellinge archipelago off the southern coast of Finland, known for its traditional fishing community and scenic Baltic Sea landscapes.
-
D.
Bålsta
Bålsta is a locality in Uppsala County, Sweden, known as the main urban center of Håbo Municipality and a commuter town within the Greater Stockholm region.
-
E.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626fad6881909895cc8c0af62f0d |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:51 p.m.