Triple
T7910667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakkholmen |
E183688
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object | Hovedøya |
E178919
|
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: Hovedøya | Statement: [Nakkholmen, nearbyIsland, Hovedøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hovedøya Context triple: [Nakkholmen, nearbyIsland, Hovedøya]
-
A.
Hovedøya
chosen
Hovedøya is a small, historically significant island near central Oslo, Norway, known for its monastery ruins, beaches, and recreational green spaces.
-
B.
Tjeldøya
Tjeldøya is an island in northern Norway known for its rugged coastal landscape and location within the Ofoten region.
-
C.
Sundøya
Sundøya is an island located in Tyrifjorden, a large lake in southeastern Norway.
-
D.
Langøya
Langøya is a large island in the Vesterålen archipelago in northern Norway, known for its dramatic coastal landscapes and fishing communities.
-
E.
Tromsøya island
Tromsøya island is a Norwegian island in Troms og Finnmark county that hosts the city center of Tromsø and is known for its Arctic location and vibrant cultural life.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5db9508190bbe92673ef5a7861 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63a8b7cc8190b18a43b7d610fd55 |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 5:04 p.m.