Triple
T20649774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roslagen |
E507457
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Öregrund |
—
|
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: Öregrund | Statement: [Roslagen, contains, Öregrund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Öregrund Context triple: [Roslagen, contains, Öregrund]
-
A.
Öregrund
chosen
Öregrund is a small coastal town in eastern Sweden known for its historic wooden architecture, seaside setting, and role as a popular summer resort.
-
B.
Österlen
Österlen is a picturesque rural area in southeastern Skåne, Sweden, known for its rolling farmland, coastal landscapes, and vibrant arts and tourism scene.
-
C.
Korsnäs
Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
-
D.
Ingarö
Ingarö is a large island in the Stockholm archipelago of Sweden, known for its forests, beaches, and popular recreational areas.
-
E.
Torgny
Torgny is a masculine given name of Scandinavian origin, most notably borne by the Swedish author Torgny Lindgren.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af2133048190a6308074a3b3347e |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.