Triple
T23439074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bornholm Airport |
E565344
|
entity |
| Predicate | hasInternationalCharterFlightsTo |
P63491
|
FINISHED |
| Object | various European destinations |
—
|
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: various European destinations | Statement: [Bornholm Airport, hasInternationalCharterFlightsTo, various European destinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalCharterFlightsTo Context triple: [Bornholm Airport, hasInternationalCharterFlightsTo, various European destinations]
-
A.
hasInternationalFlights
Indicates that an airport or airline operates flights connecting to destinations in other countries.
-
B.
supportsCharterFlights
chosen
Indicates that one entity provides the capability or service of operating or accommodating charter flights for another entity.
-
C.
hasInternationalDestinations
Indicates that an entity offers, includes, or is connected to destinations located in foreign countries.
-
D.
operatesFlightsTo
Indicates that one entity (typically an airline) runs or provides flight services to the location represented by the other entity.
-
E.
hasDomesticFlights
Indicates that an airline or airport operates flights within the same country, connecting domestic destinations.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5de713c8190b35bfa66dddbd5af |
completed | April 29, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:50 p.m.