Triple
T15751534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andørja |
E381857
|
entity |
| Predicate | surroundedBy |
P224
|
FINISHED |
| Object | Andfjorden |
—
|
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: Andfjorden | Statement: [Andørja, surroundedBy, Andfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andfjorden Context triple: [Andørja, surroundedBy, Andfjorden]
-
A.
Andfjorden
chosen
Andfjorden is a large fjord in northern Norway known for its deep waters, rich marine life, and scenic coastal landscapes.
-
B.
Langfjorden
Langfjorden is a notable fjord in Norway’s Møre og Romsdal county, characterized by its deep waters and steep surrounding mountains.
-
C.
Reinefjorden
Reinefjorden is a dramatic fjord in Norway’s Lofoten archipelago, renowned for its steep mountains, fishing villages, and iconic Arctic coastal scenery.
-
D.
Ænesfjorden
Ænesfjorden is a small fjord in Kvinnherad municipality in Vestland county, western Norway, known for its steep surrounding mountains and scenic coastal landscape.
-
E.
Randsfjorden
Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
Created at: April 10, 2026, 4:47 a.m.