Triple
T17657804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigdal |
E440170
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object | Prestfoss |
—
|
NE NERFINISHED |
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: Prestfoss | Statement: [Sigdal, administrativeCentre, Prestfoss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prestfoss Context triple: [Sigdal, administrativeCentre, Prestfoss]
-
A.
Prestfoss
chosen
Prestfoss is a village in Buskerud, Norway, known as the main local hub for municipal services and community life in the Sigdal area.
-
B.
Asea Brown Boveri
Asea Brown Boveri (ABB) is a multinational Swiss-Swedish corporation known for its leading role in power and automation technologies, including robotics, electrification, and industrial control systems.
-
C.
Voith
Voith is a German multinational engineering company known for its technologies and services in sectors such as energy, paper, raw materials, and transportation.
-
D.
Grundfos
Grundfos is a Danish multinational company that is one of the world’s leading manufacturers of pumps and water technology solutions.
-
E.
Eaton
Eaton is a surname most notably associated with American decathlete and Olympic gold medalist Ashton Eaton.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea3b4cc81908eec7032cf221d49 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:28 a.m.