Triple
T13521503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvæfjord |
E322907
|
entity |
| Predicate | hasCoastlineOn |
P212
|
FINISHED |
| Object | Gullesfjorden |
E1113081
|
NE FINISHED |
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: Gullesfjorden | Statement: [Kvæfjord, hasCoastlineOn, Gullesfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gullesfjorden Context triple: [Kvæfjord, hasCoastlineOn, Gullesfjorden]
-
A.
Gullesfjord
chosen
Gullesfjord is a small settlement in Kvæfjord Municipality in Troms og Finnmark county in northern Norway, situated near the fjord of the same name.
-
B.
Orkdalsfjorden
Orkdalsfjorden is a branch of the Trondheimsfjord in central Norway, known for its narrow, fjord-like extension inland toward the town of Orkanger.
-
C.
Granvinfjorden
Granvinfjorden is a small side fjord in Vestland county, Norway, branching off the larger Hardangerfjord and surrounded by steep mountainous terrain.
-
D.
Beitstadfjorden
Beitstadfjorden is an inner branch of the Trondheimsfjord in Trøndelag county, Norway, known for its sheltered waters and surrounding agricultural and forested landscapes.
-
E.
Dalsfjorden
Dalsfjorden is a fjord in western Norway known for its steep surrounding mountains, deep waters, and small coastal settlements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa3df0c8190804174695587f0ea |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb6e3d048190869bba1b4a7e255f |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 9, 2026, 9:44 p.m.