Triple
T22173682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waxholmsbolaget ferries |
E547986
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Nåttarö |
—
|
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: Nåttarö | Statement: [Waxholmsbolaget ferries, connects, Nåttarö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nåttarö Context triple: [Waxholmsbolaget ferries, connects, Nåttarö]
-
A.
Nåttarö
chosen
Nåttarö is a small island in the Stockholm archipelago of Sweden, known for its sandy beaches, pine forests, and popular summer cottages.
-
B.
Norderön
Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
-
C.
Korsnäs
Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
-
D.
Svartsö
Svartsö is a rural, forested island in Sweden’s Stockholm archipelago known for its tranquil atmosphere, small community, and outdoor recreation opportunities.
-
E.
Såtenäs
Såtenäs is a locality in western Sweden best known as a major Swedish Air Force base and home of the F 7 Wing.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6a9370819098ad65fede676c2b |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.