Triple
T21775172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romerike |
E537552
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nes municipality |
—
|
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: Nes municipality | Statement: [Romerike, contains, Nes municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nes municipality Context triple: [Romerike, contains, Nes municipality]
-
A.
Nes municipality
chosen
Nes municipality is a local government area in southeastern Norway, known for its rural landscapes and location along the Glomma and Vorma rivers in Viken county.
-
B.
Nes Municipality
Nes Municipality is a local administrative region in the Faroe Islands that includes the town of Runavík and surrounding settlements.
-
C.
Nesna Municipality
Nesna Municipality is a small coastal municipality in Nordland county, Norway, known for its island-dotted coastline and location along the Helgeland coast.
-
D.
Nannestad municipality
Nannestad municipality is a local government area in Viken county, Norway, known for its rural landscapes and proximity to Oslo Airport, Gardermoen.
-
E.
municipality of Nesbyen
The municipality of Nesbyen is a small Norwegian local government area and village known for its inland valley setting, historical wooden architecture, and notably warm summer temperatures.
- 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.