Triple
T3036665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Paul II International Airport Kraków–Balice |
E83025
|
entity |
| Predicate | servesDomesticFlights |
P1658
|
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: [John Paul II International Airport Kraków–Balice, servesDomesticFlights, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesDomesticFlights Context triple: [John Paul II International Airport Kraków–Balice, servesDomesticFlights, yes]
-
A.
hasDomesticFlights
chosen
Indicates that an airline or airport operates flights within the same country, connecting domestic destinations.
-
B.
operatesFlightsTo
Indicates that one entity (typically an airline) runs or provides flight services to the location represented by the other entity.
-
C.
servesAirlineType
Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
-
D.
operatesFlightsInRegion
Indicates that an airline or carrier runs or provides flight services within a specified geographic region.
-
E.
servesAirline
Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2cd4988190b52fe3616ecbe9ef |
completed | March 8, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.