Triple
T4565935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Airports System of Canada |
E121908
|
entity |
| Predicate | includesTypeOfFacility |
P2836
|
FINISHED |
| Object | public use airports |
—
|
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: public use airports | Statement: [National Airports System of Canada, includesTypeOfFacility, public use airports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTypeOfFacility Context triple: [National Airports System of Canada, includesTypeOfFacility, public use airports]
-
A.
hasFacilityType
chosen
Indicates that an entity possesses or is associated with a specific type or category of facility.
-
B.
designedFacilityType
Indicates the type or category of facility that something (such as a plan, system, or component) is specifically designed for.
-
C.
restrictsFacility
Indicates that one entity imposes limitations or controls on the use, access, or operation of a particular facility.
-
D.
servesFacility
Indicates that one entity provides services or support to a particular facility as its client, target, or area of operation.
-
E.
isPrimaryFacilityFor
Indicates that one facility serves as the main or principal location responsible for supporting or serving a particular entity or operation.
- 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.