Triple
T13118652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varanger Peninsula |
E311665
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hornøya
Hornøya is a small Norwegian island in the Barents Sea renowned as an important seabird sanctuary and the easternmost point of mainland Norway’s territory.
|
E1041837
|
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: Hornøya | Statement: [Varanger Peninsula, contains, Hornøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hornøya Context triple: [Varanger Peninsula, contains, Hornøya]
-
A.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
B.
Hinnøya
Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
-
C.
Storøya
Storøya is an island located in the lake Tyrifjorden in Norway.
-
D.
Brønnøya
Brønnøya is a scenic island in the Oslofjord known for its holiday homes, nature trails, and car-free environment, located within the municipality of Asker in Norway.
-
E.
Helgøya
Helgøya is the largest freshwater island in Norway, located in Lake Mjøsa and known for its agricultural landscape and historic farms.
- 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: Hornøya Triple: [Varanger Peninsula, contains, Hornøya]
Generated description
Hornøya is a small Norwegian island in the Barents Sea renowned as an important seabird sanctuary and the easternmost point of mainland Norway’s territory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hornøya Target entity description: Hornøya is a small Norwegian island in the Barents Sea renowned as an important seabird sanctuary and the easternmost point of mainland Norway’s territory.
-
A.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
B.
Hinnøya
Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
-
C.
Storøya
Storøya is an island located in the lake Tyrifjorden in Norway.
-
D.
Brønnøya
Brønnøya is a scenic island in the Oslofjord known for its holiday homes, nature trails, and car-free environment, located within the municipality of Asker in Norway.
-
E.
Helgøya
Helgøya is the largest freshwater island in Norway, located in Lake Mjøsa and known for its agricultural landscape and historic farms.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98182011c8190a504678affbb7787 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7460c05bc819089cdd004bb07c492 |
completed | May 3, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_69f749ffd5d4819096cee1b27838d7d3 |
completed | May 3, 2026, 1:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74a58aa948190978568028cc5a445 |
completed | May 3, 2026, 1:15 p.m. |
Created at: April 9, 2026, 9:06 p.m.