Triple
T15463948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gomalandet |
E371975
|
entity |
| Predicate | hasMunicipalCentre |
P1474
|
FINISHED |
| Object | Kristiansund |
E76076
|
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: Kristiansund | Statement: [Gomalandet, hasMunicipalCentre, Kristiansund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristiansund Context triple: [Gomalandet, hasMunicipalCentre, Kristiansund]
-
A.
Kristiansund
chosen
Kristiansund is a coastal city in western Norway known for its historic clipfish industry, distinctive layout across several islands, and picturesque harbor.
-
B.
Kristiansand
Kristiansand is a coastal city in southern Norway known for its harbor, beaches, and role as a regional cultural and economic center.
-
C.
Egersund
Egersund is a coastal town in southwestern Norway known for its fishing industry, historic wooden architecture, and scenic harbor.
-
D.
Florø
Florø is a coastal town in western Norway known as the country’s westernmost town and a traditional center for fishing and maritime industries.
-
E.
Ålesund
Ålesund is a coastal Norwegian city renowned for its distinctive Art Nouveau architecture and location across several islands in Western Norway.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1927708190a0d2b63e75469a0e |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fb168548190afb975ef60fa5f3e |
completed | May 11, 2026, 4:48 a.m. |
Created at: April 10, 2026, 3:33 a.m.