Triple
T17505098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyrøya Bridge |
E426292
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Andørja |
—
|
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: Andørja | Statement: [Dyrøya Bridge, connects, Andørja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andørja Context triple: [Dyrøya Bridge, connects, Andørja]
-
A.
Andørja
chosen
Andørja is a mountainous island in northern Norway known for its deep fjords and scenic Arctic landscapes.
-
B.
Ørje
Ørje is a small village in southeastern Norway known for its historic locks on the Halden Canal and its role as a local commercial and service hub.
-
C.
Jordal
Jordal is a neighborhood in Oslo, Norway, known for its sports facilities and ice hockey heritage.
-
D.
Mjøsund
Mjøsund is a small coastal settlement in northern Norway, situated on or near the island of Andørja and known for its scenic fjord landscape and maritime setting.
-
E.
Nesset
Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45214d44c8190b1bf04bf24ab8e81 |
completed | April 19, 2026, 3:55 a.m. |
Created at: April 10, 2026, 5:48 a.m.