Triple
T11313448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mossefjord |
E267900
|
entity |
| Predicate | hasShoreOn |
P26435
|
FINISHED |
| Object | Moss municipality |
E244452
|
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: Moss municipality | Statement: [Mossefjord, hasShoreOn, Moss municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moss municipality Context triple: [Mossefjord, hasShoreOn, Moss municipality]
-
A.
Moss municipality
chosen
Moss municipality is a local government area in Viken county, Norway, known for its coastal location along the Oslofjord and centered around the town of Moss.
-
B.
Sveio Municipality
Sveio Municipality is a coastal municipality in Western Norway known for its scenic landscapes, islands, and proximity to the North Sea.
-
C.
Vanylven Municipality
Vanylven Municipality is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
-
D.
Voss Municipality
Voss Municipality is a local government area in western Norway known for its dramatic landscapes, outdoor sports, and cultural traditions.
-
E.
Kinn Municipality
Kinn Municipality is a coastal municipality in western Norway known for its rugged coastline, fishing communities, and maritime industries.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c1b7dc81908d8cc768c47390d3 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a910a2c8190b8afd4c988e64141 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 8, 2026, 9:32 p.m.