Triple
T5789903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solliden Palace |
E128365
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Kalmarsund |
E536119
|
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: Kalmarsund | Statement: [Solliden Palace, hasViewOf, Kalmarsund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalmarsund Context triple: [Solliden Palace, hasViewOf, Kalmarsund]
-
A.
Kalmarsund
chosen
Kalmarsund is a strait in the Baltic Sea that separates the Swedish island of Öland from the mainland province of Småland.
-
B.
Strelasund
Strelasund is a strait in the Baltic Sea separating the German island of Rügen from the mainland near the city of Stralsund.
-
C.
Kvarner Gulf
Kvarner Gulf is a bay of the northern Adriatic Sea known for its coastal cities and islands that form a popular tourist region of Croatia.
-
D.
Riddarfjärden
Riddarfjärden is the easternmost bay of Lake Mälaren in central Stockholm, known for its iconic city skyline views and historic waterfront.
-
E.
Norrsundet
Norrsundet is a small coastal locality in eastern Sweden known historically for its sawmill and harbor along the Gulf of Bothnia.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5585788190821b8da40259e0e7 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1134155608190bc9271dba417a512 |
completed | March 23, 2026, 10:17 a.m. |
Created at: March 22, 2026, 3:51 p.m.