Triple
T5065571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrifjorden |
E114134
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Utøya
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.
|
E489962
|
NE FINISHED |
How this triple was built (4 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: [Tyrifjorden, hasIsland, Utøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utøya Context triple: [Tyrifjorden, hasIsland, Utøya]
-
A.
Borkenes
Borkenes is a small coastal village in northern Norway known for its scenic surroundings and traditional fishing and farming activities.
-
B.
Øye
Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
-
C.
Rennesøy
Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
-
D.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
E.
Rolløya
Rolløya is an island located in Troms county in northern Norway, known for its rugged coastal landscape and Arctic climate.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Utøya Triple: [Tyrifjorden, hasIsland, Utøya]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Utøya Target entity description: 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.
-
A.
Borkenes
Borkenes is a small coastal village in northern Norway known for its scenic surroundings and traditional fishing and farming activities.
-
B.
Øye
Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
-
C.
Rennesøy
Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
-
D.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
E.
Rolløya
Rolløya is an island located in Troms county in northern Norway, known for its rugged coastal landscape and Arctic climate.
- F. None of above. chosen
Provenance (5 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7478f7988190bc0473e8af055147 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49d917081909ead17eed3f8af90 |
completed | March 21, 2026, 2:01 p.m. |
| NEDg | Description generation | batch_69bea525d9088190b0b655687dd27630 |
completed | March 21, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea594850881909cd683670b63a079 |
completed | March 21, 2026, 2:05 p.m. |
Created at: March 20, 2026, 1:38 p.m.