Triple
T8167370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeropuerto Internacional Ministro Pistarini |
E190724
|
entity |
| Predicate | handlesDomesticFlights |
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: [Aeropuerto Internacional Ministro Pistarini, handlesDomesticFlights, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesDomesticFlights Context triple: [Aeropuerto Internacional Ministro Pistarini, handlesDomesticFlights, yes]
-
A.
hasDomesticFlights
chosen
Indicates that an airline or airport operates flights within the same country, connecting domestic destinations.
-
B.
hasDomesticTerminal
Indicates that a transportation facility, typically an airport, includes a terminal dedicated to domestic (within-country) travel operations.
-
C.
hasDomesticConcourse
Indicates that a transportation facility includes a concourse area designated for domestic (within-country) passengers or services.
-
D.
operatesFlightsTo
Indicates that one entity (typically an airline) runs or provides flight services to the location represented by the other entity.
-
E.
hasScheduledFlights
Indicates that there are one or more flights planned and set to occur between the related entities according to a schedule.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb46698fb88190a6d520b05cb9b03e |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:39 p.m.