Triple
T23483733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asker municipality |
E570473
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Holmen |
—
|
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: Holmen | Statement: [Asker municipality, containsSettlement, Holmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holmen Context triple: [Asker municipality, containsSettlement, Holmen]
-
A.
Holmen
chosen
Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
-
B.
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.
-
C.
Holmen
Holmen is a small village in La Crosse County, Wisconsin, that forms part of the La Crosse metropolitan area.
-
D.
Holmen
Holmen is a small settlement located near Vuku in Trøndelag county, central Norway.
-
E.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a751e6a08190a42c36722275d5d3 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:03 p.m.