Triple
T12308039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storkyrkan |
E293402
|
entity |
| Predicate | hasArtwork |
P1572
|
FINISHED |
| Object | Vädersoltavlan |
E432132
|
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: Vädersoltavlan | Statement: [Storkyrkan, hasArtwork, Vädersoltavlan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vädersoltavlan Context triple: [Storkyrkan, hasArtwork, Vädersoltavlan]
-
A.
Vädersoltavlan
chosen
Vädersoltavlan is a famous 16th-century painting depicting a rare halo phenomenon over Stockholm, considered one of the oldest known images of the city.
-
B.
Hjälmaren
Hjälmaren is one of Sweden’s largest lakes, located in central Sweden and known for its shallow waters and surrounding agricultural and forested landscapes.
-
C.
Vårsta
Vårsta is a small locality in eastern Sweden, situated within Botkyrka Municipality in Stockholm County.
-
D.
Blåränderna
Blåränderna is a popular nickname for Djurgårdens IF, referring to the Swedish sports club’s iconic blue-striped team colors.
-
E.
Veddel
Veddel is a small island district of Hamburg, Germany, known for its port-related industries and multicultural residential community.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f01ace8819087f245b9216f4dc8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8243d48190baf25b2927de6c62 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.