Triple
T6273039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svínoy |
E140584
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Norðoyar |
E149094
|
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: Norðoyar | Statement: [Svínoy, partOf, Norðoyar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norðoyar Context triple: [Svínoy, partOf, Norðoyar]
-
A.
Nólsoy
Nólsoy is a small, sparsely populated island in the Faroe Islands known for its traditional village, rich birdlife, and proximity to the capital, Tórshavn.
-
B.
Norra
Norra is a Finnish regional airline that operates domestic and short-haul international flights, primarily on behalf of Finnair.
-
C.
Øyeren
Øyeren is a large lake in southeastern Norway, known for its rich birdlife and role as a major reservoir along the Glomma river system.
-
D.
Porsanger
Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
-
E.
Borðoy
chosen
Borðoy is one of the main islands of the Faroe Islands, known for its rugged landscapes and the town of Klaksvík, the country’s second-largest settlement.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063be5a148190a8752426d2d220f8 |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2446ad060819094acd817ba5eadc9 |
completed | March 24, 2026, 7:59 a.m. |
Created at: March 22, 2026, 4:25 p.m.