Triple
T3542740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ålesund |
E74923
|
entity |
| Predicate | urbanArea |
P12103
|
FINISHED |
| Object | Ålesund urban area |
E74923
|
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: Ålesund urban area | Statement: [Ålesund, urbanArea, Ålesund urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ålesund urban area Context triple: [Ålesund, urbanArea, Ålesund urban area]
-
A.
Ålesund Municipality
Ålesund Municipality is a local government area in Møre og Romsdal county, Norway, encompassing the coastal city of Ålesund and its surrounding islands.
-
B.
Ålesund
chosen
Ålesund is a coastal Norwegian city renowned for its distinctive Art Nouveau architecture and location across several islands in Western Norway.
-
C.
Fredrikstad/Sarpsborg urban area
The Fredrikstad/Sarpsborg urban area is a major contiguous metropolitan region in southeastern Norway that encompasses the twin cities of Fredrikstad and Sarpsborg.
-
D.
Kristiansund
Kristiansund is a coastal city in western Norway known for its historic clipfish industry, distinctive layout across several islands, and picturesque harbor.
-
E.
Kristiansand
Kristiansand is a coastal city in southern Norway known for its harbor, beaches, and role as a regional cultural and economic center.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf73c5e881909a8352512928377b |
completed | March 8, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f018fe0481908291195f55fd765f |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:20 p.m.