Triple
T21775290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nes (Viken) |
E537555
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Sør-Odal |
—
|
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: Sør-Odal | Statement: [Nes (Viken), hasBorderWith, Sør-Odal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sør-Odal Context triple: [Nes (Viken), hasBorderWith, Sør-Odal]
-
A.
Sør-Odal
chosen
Sør-Odal is a rural municipality in Innlandet county, Norway, known for its forests, agriculture, and location along the Glomma River.
-
B.
Ogndal
Ogndal was a former rural municipality in Trøndelag county, Norway, that was incorporated into the town of Steinkjer.
-
C.
Nord-Odal
Nord-Odal is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and traditional agricultural landscape.
-
D.
Romsdal
Romsdal is a traditional district in Møre og Romsdal county in western Norway, known for its dramatic fjords, mountains, and the town of Molde.
-
E.
Sunndalsfjorden
Sunndalsfjorden is a dramatic fjord in Møre og Romsdal county, Norway, known for its steep mountainsides and location in the Sunndal region of Nordmøre.
- 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.