Triple
T11815304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YSSY |
E280983
|
entity |
| Predicate | associatedAirportHasInternationalFlights |
P1657
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [YSSY, associatedAirportHasInternationalFlights, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAirportHasInternationalFlights Context triple: [YSSY, associatedAirportHasInternationalFlights, true]
-
A.
hasInternationalAirport
Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
-
B.
isInternationalAirportCode
Indicates that a given code designates an airport in the standardized international airport coding system (such as IATA or ICAO).
-
C.
hasInternationalTerminal
Indicates that a transportation facility includes a terminal specifically designated for handling international arrivals and departures.
-
D.
openedAsInternationalAirport
Indicates that an airport was inaugurated or began operations specifically as an international airport, serving international flights from its opening.
-
E.
hasInternationalFlights
chosen
Indicates that an airport or airline operates flights connecting to destinations in other countries.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.