Triple
T29175397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voss Airport, Bømoen |
E739593
|
entity |
| Predicate | hasMunicipalOwnerOrControl |
P69002
|
FINISHED |
| Object | Voss municipality |
—
|
NE NERFINISHED |
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: Voss municipality | Statement: [Voss Airport, Bømoen, hasMunicipalOwnerOrControl, Voss municipality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalOwnerOrControl Context triple: [Voss Airport, Bømoen, hasMunicipalOwnerOrControl, Voss municipality]
-
A.
municipalOwnership
chosen
Indicates that an entity is owned, controlled, or held as property by a municipal (city or local) government.
-
B.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
-
C.
hasMunicipalPart
Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
-
D.
isMunicipal
Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
-
E.
hasMunicipalDistrict
Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
- F. None of above.
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_69f07cb6394c8190ab7842c48e699e2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 28, 2026, 11:54 a.m.