Triple
T13614407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evje og Hornnes |
E325273
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Hornnes |
E1052485
|
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: Hornnes | Statement: [Evje og Hornnes, formedByMergerOf, Hornnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hornnes Context triple: [Evje og Hornnes, formedByMergerOf, Hornnes]
-
A.
Hornnes
chosen
Hornnes is a village in Agder county, Norway, situated within the municipality of Evje og Hornnes in the Setesdal valley.
-
B.
Hestnes
Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
-
C.
Holtaness
Holtaness is the modest summit that forms the highest natural elevation on the Orkney island of North Ronaldsay in Scotland.
-
D.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
E.
Hornodden
Hornodden is a remote Arctic headland located on the island of Kvitøya in the Svalbard archipelago of Norway.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a83aeeb48190b92b00366791ab15 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:50 p.m.