Triple
T21775284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nes (Viken) |
E537555
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object | Årnes |
—
|
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: Årnes | Statement: [Nes (Viken), administrativeCentre, Årnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Årnes Context triple: [Nes (Viken), administrativeCentre, Årnes]
-
A.
Årnes
chosen
Årnes is a small Norwegian town situated along the Glomma River, known as a local administrative and commercial center in Nes municipality in Viken county.
-
B.
Årnes
Årnes is a village in Trøndelag county, Norway, known as the main local settlement and service hub of the coastal municipality of Åfjord.
-
C.
Årnset
Årnset is a village in Trøndelag county, Norway, known for serving as the central settlement of the Rissa area.
-
D.
Norddal
Norddal is a small village and former municipality in Møre og Romsdal county in western Norway, situated in the Sunnmøre region.
-
E.
Ørskog
Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f04627bd488190bbc1fde8db417b55 |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:51 p.m.