Triple
T18327031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vamma power station |
E439037
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Hafslund Eco |
—
|
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: Hafslund Eco | Statement: [Vamma power station, ownedBy, Hafslund Eco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hafslund Eco Context triple: [Vamma power station, ownedBy, Hafslund Eco]
-
A.
Hafslund E-CO
chosen
Hafslund E-CO is a major Norwegian energy company primarily involved in hydropower production and electricity distribution.
-
B.
Skogrand
Skogrand is a small settlement located within the municipality of Nes in Akershus county, Norway.
-
C.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
D.
Holmen
Holmen is a historic waterfront district in Copenhagen, Denmark, known for its former naval base, repurposed industrial buildings, and vibrant cultural and residential developments.
-
E.
Holmen
Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aab3e7c81909b1c0a688707dfd6 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.