Triple
T10852517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solbergfoss power station |
E256182
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | Hafslund Eco |
E245869
|
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: Hafslund Eco | Statement: [Solbergfoss power station, operatedBy, Hafslund Eco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hafslund Eco Context triple: [Solbergfoss power station, operatedBy, Hafslund Eco]
-
A.
Skogrand
Skogrand is a small settlement located within the municipality of Nes in Akershus county, Norway.
-
B.
Hafslund
chosen
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
C.
Holmen
Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
-
D.
Borregaard
Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
-
E.
Egger Highlands
Egger Highlands is a residential neighborhood in the southern part of San Diego, California, near the U.S.–Mexico border.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75134299481909459fd87917261a7 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7cc0d648190afb0ce80bac7f3dc |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.