Triple
T13147486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torsken Municipality |
E312376
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Gryllefjord |
E319757
|
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: Gryllefjord | Statement: [Torsken Municipality, hasSettlement, Gryllefjord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gryllefjord Context triple: [Torsken Municipality, hasSettlement, Gryllefjord]
-
A.
Gryllefjord
chosen
Gryllefjord is a small coastal fishing village located on the island of Senja in northern Norway.
-
B.
Sigerfjord
Sigerfjord is a small coastal village in northern Norway, situated on the island of Hinnøya in the Vesterålen region.
-
C.
Eidfjord
Eidfjord is a small Norwegian village and municipality in Vestland county, known for its dramatic fjord landscape, waterfalls, and status as a popular cruise and tourist destination.
-
D.
Lustrafjord
Lustrafjord is a scenic inner branch of Norway’s Sognefjord, known for its dramatic mountains, clear waters, and picturesque villages.
-
E.
Flekkefjord
Flekkefjord is a coastal town in southern Norway known for its historic wooden architecture, maritime heritage, and picturesque fjord setting.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78acdaae881908825e5308f0ba388 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:10 p.m.