Triple
T19172127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bålsta Station |
E469347
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bålsta |
E620870
|
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: Bålsta | Statement: [Bålsta Station, locatedIn, Bålsta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bålsta Context triple: [Bålsta Station, locatedIn, Bålsta]
-
A.
Bålsta
chosen
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.
-
B.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
C.
Stenåsa
Stenåsa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and proximity to coastal and natural areas.
-
D.
Bjerka
Bjerka is a small village in the municipality of Hemnes in Nordland county, Norway.
-
E.
Bøelva
Bøelva is a river in Telemark, Norway, known for flowing through the Bø area before emptying into the large lake Norsjø.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16481948190973067eb854da237 |
completed | April 20, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087069ce008190b409e7ba9beba1dc |
completed | May 16, 2026, 1:26 p.m. |
Created at: April 10, 2026, 12:06 p.m.