Triple
T13614351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setesdal |
E325272
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bykle |
E325276
|
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: Bykle | Statement: [Setesdal, hasPart, Bykle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bykle Context triple: [Setesdal, hasPart, Bykle]
-
A.
Bykle
chosen
Bykle is a small rural municipality in southern Norway known for its mountainous landscapes and outdoor recreation opportunities.
-
B.
Sykkylven
Sykkylven is a municipality in Møre og Romsdal county, Norway, known for its fjord landscape and strong furniture manufacturing industry.
-
C.
Brysen
Brysen is a modern given name, typically used for boys, considered a variant spelling of Bryson.
-
D.
Byas
Byas is a surname most notably associated with American jazz tenor saxophonist Don Byas.
-
E.
Bruhagen
Bruhagen is a village and administrative center located on the island of Averøya in Møre og Romsdal county, 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9cbc388190972e949324144d2f |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.