Triple
T20053334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ørland Airport |
E499259
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Fosen district |
—
|
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: Fosen district | Statement: [Ørland Airport, locatedIn, Fosen district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fosen district Context triple: [Ørland Airport, locatedIn, Fosen district]
-
A.
Fosen district
chosen
Fosen district is a traditional coastal region in Trøndelag county, Norway, known for its fjords, islands, and rural communities.
-
B.
Helgeland district
Helgeland district is a traditional region in southern Nordland county, Norway, known for its coastal archipelagos, fjords, and scattered rural communities.
-
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.
Ringerike district
Ringerike district is a historic region in southeastern Norway known for its cultural heritage, distinctive landscape, and early medieval significance.
-
E.
Trysil region
Trysil region is a mountainous forested area in eastern Norway known for its large ski resort and outdoor recreation opportunities.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6633043a481908359ad232607182a |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.