Triple
T8279463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vår Frelsers gravlund |
E193632
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Æreslunden |
E723213
|
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: Æreslunden | Statement: [Vår Frelsers gravlund, hasSection, Æreslunden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Æreslunden Context triple: [Vår Frelsers gravlund, hasSection, Æreslunden]
-
A.
Æreslunden
chosen
Æreslunden is the honorary burial section of Vår Frelsers gravlund in Oslo, where many of Norway’s most prominent cultural and historical figures are interred.
-
B.
Åreskutan
Åreskutan is a prominent mountain in central Sweden known for hosting one of Scandinavia’s most popular ski resorts and extensive alpine facilities.
-
C.
Ålsgårde
Ålsgårde is a coastal town in North Zealand, Denmark, known for its residential areas and proximity to the Øresund Strait.
-
D.
Ulriksdal
Ulriksdal is a district in Solna, Sweden, known for the historic Ulriksdal Palace and its surrounding parklands along the Edsviken inlet.
-
E.
Thyborøn
Thyborøn is a coastal fishing town and tourist destination in western Jutland, Denmark, known for its harbor, North Sea beaches, and World War II coastal fortifications.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ece5708190a1569bcfad5b3644 |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd951c06b88190962b108b3325d30b |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:51 p.m.