Triple
T26438397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalina Airport |
E665015
|
entity |
| Predicate | isPrimaryAviationGatewayFor |
P150937
|
FINISHED |
| Object | Santa Catalina Island |
—
|
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: Santa Catalina Island | Statement: [Catalina Airport, isPrimaryAviationGatewayFor, Santa Catalina Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrimaryAviationGatewayFor Context triple: [Catalina Airport, isPrimaryAviationGatewayFor, Santa Catalina Island]
-
A.
isCivilAviationHub
Indicates that a location serves as a central node for civil (non-military) air transport operations, such as passenger and cargo flights.
-
B.
isMajorInternationalGatewayFor
Indicates that one entity serves as a primary, globally significant access point or hub for another entity’s international connections or flows.
-
C.
hasPrimaryAirportRole
Indicates that an entity holds the main or principal functional role associated with an airport.
-
D.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
-
E.
hasAirportAccessTo
chosen
Indicates that one location or entity has direct access to another via an airport connection or service.
- 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 26, 2026, 11:55 p.m.