Triple
T12914828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mjølhus |
E308949
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Mjølhus (Norwegian) |
E308949
|
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: Mjølhus (Norwegian) | Statement: [Mjølhus, hasNameInLanguage, Mjølhus (Norwegian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mjølhus (Norwegian) Context triple: [Mjølhus, hasNameInLanguage, Mjølhus (Norwegian)]
-
A.
Mjølhus
chosen
Mjølhus is a small settlement located within the municipality of Froland in Agder county, Norway.
-
B.
Norwegian Christmas House
The Norwegian Christmas House is a popular year-round shop and attraction in Drøbak, Norway, dedicated to Christmas decorations, gifts, and festive displays.
-
C.
Eilert Sundts hus
Eilert Sundts hus is a main academic building at the University of Oslo that houses key social science departments, including the Institute of Economics.
-
D.
Smøla
Smøla is a coastal municipality and island in western Norway known for its flat, windswept landscape, fishing communities, and large wind farm.
-
E.
Hemnes
Hemnes is a municipality in Nordland county, Norway, known for its mountainous landscapes, fjords, and outdoor recreation opportunities.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a0d6508190bca9668e9e06abfe |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a56ea03c819093a5b8657e27768e |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:41 p.m.