Triple
T13798523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Løten municipality |
E331577
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Ådalsbruk |
E349208
|
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: Ådalsbruk | Statement: [Løten municipality, hasSettlement, Ådalsbruk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ådalsbruk Context triple: [Løten municipality, hasSettlement, Ådalsbruk]
-
A.
Ådalsbruk
chosen
Ådalsbruk is a small village in Løten Municipality in Innlandet county, Norway, best known as the birthplace of painter Edvard Munch.
-
B.
Haugen farm
Haugen farm is the Norwegian site where the historic Tune Viking ship was unearthed.
-
C.
Ålsgårde
Ålsgårde is a coastal town in North Zealand, Denmark, known for its residential areas and proximity to the Øresund Strait.
-
D.
Kornstadlandet
Kornstadlandet is a Norwegian island located in Møre og Romsdal county, forming part of the coastal landscape of Averøy.
-
E.
Akkerhaugen
Akkerhaugen is a small village in Telemark, Norway, known for its scenic lakeside setting and role as a local hub for tourism and agriculture.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:11 p.m.