Triple
T17882028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Albert (Glass Field) Airport |
E447109
|
entity |
| Predicate | hasBasedOperatorType |
P22187
|
FINISHED |
| Object | flight school |
—
|
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: flight school | Statement: [Prince Albert (Glass Field) Airport, hasBasedOperatorType, flight school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasedOperatorType Context triple: [Prince Albert (Glass Field) Airport, hasBasedOperatorType, flight school]
-
A.
hasOperationType
Indicates the specific kind or category of operation associated with an entity or process.
-
B.
hasMajorOperator
Indicates that an entity is primarily operated, managed, or run by a specified main operator or organization.
-
C.
hasFixedBaseOperator
chosen
Indicates that an entity is associated with or utilizes a specific, non-changing base operator as part of its definition or behavior.
-
D.
isOperatorOn
Indicates that one entity serves as an operator responsible for operating, controlling, or managing another entity (such as a system, machine, or process).
-
E.
hasOperationsIn
Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0f40fc8190b2e615b41829f5df |
completed | April 19, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:18 a.m.