Triple
T3145405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mjøsa |
E65750
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Helgøya
Helgøya is the largest freshwater island in Norway, located in Lake Mjøsa and known for its agricultural landscape and historic farms.
|
E359650
|
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: Helgøya | Statement: [Mjøsa, hasIsland, Helgøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helgøya Context triple: [Mjøsa, hasIsland, Helgøya]
-
A.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
B.
Hadseløya
Hadseløya is a scenic Norwegian island in Nordland county, known for its rugged coastal landscape and its location within the Vesterålen archipelago.
-
C.
Moskenesøya
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
-
D.
Bleikøya
Bleikøya is a small island in the inner Oslofjord near Oslo, Norway, known for its recreational areas and scenic coastal landscape.
-
E.
Hinnøya
Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
- 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: Helgøya Triple: [Mjøsa, hasIsland, Helgøya]
Generated description
Helgøya is the largest freshwater island in Norway, located in Lake Mjøsa and known for its agricultural landscape and historic farms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helgøya Target entity description: Helgøya is the largest freshwater island in Norway, located in Lake Mjøsa and known for its agricultural landscape and historic farms.
-
A.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
B.
Hadseløya
Hadseløya is a scenic Norwegian island in Nordland county, known for its rugged coastal landscape and its location within the Vesterålen archipelago.
-
C.
Moskenesøya
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
-
D.
Bleikøya
Bleikøya is a small island in the inner Oslofjord near Oslo, Norway, known for its recreational areas and scenic coastal landscape.
-
E.
Hinnøya
Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3608e261081908b0633bf11ea655b |
completed | March 13, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_69b3614702348190bd35c37d2059312f |
completed | March 13, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b362451b848190a2fe80a17ab8f9c3 |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:05 p.m.