Triple
T19623080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MKJS |
E471061
|
entity |
| Predicate | supportsInternationalDepartures |
P33077
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [MKJS, supportsInternationalDepartures, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsInternationalDepartures Context triple: [MKJS, supportsInternationalDepartures, yes]
-
A.
hasInternationalTerminal
Indicates that a transportation facility includes a terminal specifically designated for handling international arrivals and departures.
-
B.
supportsSchengenFlights
Indicates that an entity enables or accommodates flights operating within the Schengen Area.
-
C.
supportsNonSchengenFlights
chosen
Indicates that the subject facility or service is capable of handling or accommodating flights that operate outside the Schengen Area.
-
D.
hasInternationalDestinationType
Indicates that something is associated with a type or category of international destination.
-
E.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e7949081908a89414ef899fa20 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.