Triple
T23351962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leka |
E592936
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Namdalen region |
—
|
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: Namdalen region | Statement: [Leka, locatedIn, Namdalen region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namdalen region Context triple: [Leka, locatedIn, Namdalen region]
-
A.
Orkdalen region
The Orkdalen region is a valley and district in Trøndelag county, Norway, centered around the Orkla River and known for its agricultural landscapes and small rural communities.
-
B.
Sunnfjord region
The Sunnfjord region is a coastal district in western Norway known for its deep fjords, rugged mountains, and traditional rural communities.
-
C.
Outer Namdalen
chosen
Outer Namdalen is a coastal district in Trøndelag county, Norway, known for its fishing communities, rugged coastline, and maritime culture.
-
D.
Dovre region
The Dovre region is a mountainous area in central Norway known for its rugged landscapes, national parks, and rich wildlife, including wild reindeer.
-
E.
Lyngen region
The Lyngen region is a scenic area in Troms, northern Norway, known for its dramatic fjords, alpine peaks, and popular outdoor activities like skiing and hiking.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a14e04c81909c007b97cf5378b6 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:20 p.m.