Triple
T18113002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran |
E433528
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Hadeland 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: Hadeland region | Statement: [Gran, locatedOn, Hadeland region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadeland region Context triple: [Gran, locatedOn, Hadeland region]
-
A.
Haugesund region
The Haugesund region is a coastal area in western Norway centered around the town of Haugesund, known for its maritime heritage, cultural festivals, and scenic North Sea landscapes.
-
B.
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.
-
C.
Hadeland district
Hadeland district is a traditional rural region in southeastern Norway known for its historic farms, forests, and lakes north of Oslo.
-
D.
Sunnfjord region
The Sunnfjord region is a coastal district in western Norway known for its deep fjords, rugged mountains, and traditional rural communities.
-
E.
Hadeland
chosen
Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.