Triple
T29175386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voss Airport, Bømoen |
E739593
|
entity |
| Predicate | hasBasedOperators |
P179223
|
FINISHED |
| Object | local flying clubs |
—
|
LITERAL 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: local flying clubs | Statement: [Voss Airport, Bømoen, hasBasedOperators, local flying clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasedOperators Context triple: [Voss Airport, Bømoen, hasBasedOperators, local flying clubs]
-
A.
hasBasedOperations
Indicates that one entity conducts or maintains its primary operations or activities at the location or facility represented by another entity.
-
B.
hasMajorOperator
Indicates that an entity is primarily operated, managed, or run by a specified main operator or organization.
-
C.
hasComplementaryOperator
Indicates that one operator is associated with another operator that performs a complementary or inverse function to it.
-
D.
hasOperationsIn
Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
-
E.
hasFixedBaseOperator
Indicates that an entity is associated with or utilizes a specific, non-changing base operator as part of its definition or behavior.
- F. None of above. chosen
Provenance (4 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_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 28, 2026, 11:54 a.m.