Triple
T4565908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottawa International Airport Authority |
E121907
|
entity |
| Predicate | governsTypeOfFacility |
P11568
|
FINISHED |
| Object | international airport |
—
|
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: international airport | Statement: [Ottawa International Airport Authority, governsTypeOfFacility, international airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governsTypeOfFacility Context triple: [Ottawa International Airport Authority, governsTypeOfFacility, international airport]
-
A.
designedFacilityType
Indicates the type or category of facility that something (such as a plan, system, or component) is specifically designed for.
-
B.
regulatesFacility
chosen
Indicates that one entity has authority to control, oversee, or set rules governing the operation or behavior of a facility.
-
C.
hasFacilityType
Indicates that an entity possesses or is associated with a specific type or category of facility.
-
D.
restrictsFacility
Indicates that one entity imposes limitations or controls on the use, access, or operation of a particular facility.
-
E.
governsOfficeType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of office.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589cde9081909b84186d700fc463 |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.