Triple
T15690357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bømlo Municipality |
E380311
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sunnhordland district |
E1136106
|
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: Sunnhordland district | Statement: [Bømlo Municipality, locatedIn, Sunnhordland district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunnhordland district Context triple: [Bømlo Municipality, locatedIn, Sunnhordland district]
-
A.
Sunnhordland
chosen
Sunnhordland is a traditional district in western Norway, known for its coastal landscapes, islands, and fjords in the southern part of Vestland county.
-
B.
Faro District
Faro District is the southernmost administrative district of mainland Portugal, encompassing much of the Algarve region and its popular coastal resorts.
-
C.
Midthordland
Midthordland is a traditional district in western Norway, forming part of the coastal and fjord landscape around the city of Bergen.
-
D.
Lofoten district
Lofoten district is a scenic archipelago in northern Norway known for its dramatic mountains, fishing villages, and Arctic coastal landscapes.
-
E.
Vesterålen district
Vesterålen district is a coastal region in northern Norway known for its dramatic islands, rich fishing traditions, and whale-watching opportunities.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4e59988190aaf12f6a07c8f0e4 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6eebaccc8190a61fb2f9b9bdbcc1 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:44 a.m.