Triple
T10428133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hole |
E245838
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Utøya |
E489962
|
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: Utøya | Statement: [Hole, hasIsland, Utøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utøya Context triple: [Hole, hasIsland, Utøya]
-
A.
Utøya
chosen
Utøya is a small island in Norway best known as the site of the 2011 mass shooting during a youth camp organized by the Labour Party.
-
B.
Borkenes
Borkenes is a small coastal village in northern Norway known for its scenic surroundings and traditional fishing and farming activities.
-
C.
Hisøy
Hisøy is an island in southern Norway that forms part of the coastal region of Agder, known for its maritime character and proximity to the town of Arendal.
-
D.
Kvitsøy
Kvitsøy is a small island municipality in southwestern Norway known for its maritime heritage, lighthouse, and rich coastal fishing grounds.
-
E.
Øye
Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4a7dcc81909a830e08656a1c0c |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2b50b48190b1d5b29d19a240c2 |
completed | April 9, 2026, 7:21 p.m. |
Created at: April 6, 2026, 12:13 p.m.