Triple
T20682293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danvikshem |
E508321
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sicklaön |
—
|
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: Sicklaön | Statement: [Danvikshem, locatedIn, Sicklaön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sicklaön Context triple: [Danvikshem, locatedIn, Sicklaön]
-
A.
Sicklaön
chosen
Sicklaön is an island and urban district area just east of central Stockholm, Sweden, known for its mix of residential neighborhoods, commercial centers, and waterfront landscapes.
-
B.
Österskär
Österskär is a coastal locality in Österåker Municipality, Sweden, known as a residential seaside area within the Stockholm archipelago.
-
C.
Norderön
Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
-
D.
Ekerö Island
Ekerö Island is a Swedish island in Lake Mälaren, known for its scenic landscapes and proximity to Stockholm.
-
E.
Rindö
Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea842dc81908106a0c29d1577aa |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.