Triple
T21275548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smøla |
E524377
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Brattværet
Brattværet is a small Norwegian island that is part of the Smøla archipelago in Møre og Romsdal county.
|
E1475233
|
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: Brattværet | Statement: [Smøla, hasIsland, Brattværet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brattværet Context triple: [Smøla, hasIsland, Brattværet]
-
A.
Svampen
Svampen is a distinctive mushroom-shaped concrete canopy and popular meeting point located in Stockholm’s Stureplan square.
-
B.
Dovrebanen
Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
-
C.
Straumgjerde
Straumgjerde is a village in Sykkylven Municipality in Møre og Romsdal county, Norway, known for its scenic fjord-side setting amid steep mountains.
-
D.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
E.
Hjelset
Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
- 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: Brattværet Triple: [Smøla, hasIsland, Brattværet]
Generated description
Brattværet is a small Norwegian island that is part of the Smøla archipelago in Møre og Romsdal county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brattværet Target entity description: Brattværet is a small Norwegian island that is part of the Smøla archipelago in Møre og Romsdal county.
-
A.
Svampen
Svampen is a distinctive mushroom-shaped concrete canopy and popular meeting point located in Stockholm’s Stureplan square.
-
B.
Dovrebanen
Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
-
C.
Straumgjerde
Straumgjerde is a village in Sykkylven Municipality in Møre og Romsdal county, Norway, known for its scenic fjord-side setting amid steep mountains.
-
D.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
E.
Hjelset
Hjelset is a village in Møre og Romsdal county, Norway, situated within Molde Municipality along the Romsdalsfjorden.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736577fd48190a0038a6ac5678668 |
completed | April 21, 2026, 8:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099008c7788190a9b49d876eb02161 |
completed | May 17, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_6a0991a69afc8190bf48f6485998d442 |
completed | May 17, 2026, 10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09922cc57c8190bbf6ce0916e43571 |
completed | May 17, 2026, 10:02 a.m. |
Created at: April 16, 2026, 4:02 p.m.