Triple
T34506293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livingstone Airport |
E885895
|
entity |
| Predicate | servesFlightsType |
P18239
|
FINISHED |
| Object | scheduled passenger flights |
—
|
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: scheduled passenger flights | Statement: [Livingstone Airport, servesFlightsType, scheduled passenger flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesFlightsType Context triple: [Livingstone Airport, servesFlightsType, scheduled passenger flights]
-
A.
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.
-
B.
servesFlightsTo
Indicates that one transportation provider regularly operates flights to a specified destination location.
-
C.
hasTypeOfFlights
chosen
Indicates that an entity offers, includes, or is associated with specific categories or kinds of flights.
-
D.
servesAviationType
Indicates that one entity provides services or functions specifically for a particular type or category of aviation.
-
E.
servesAirportType
Indicates that a transportation service or facility provides service to, or is designated for, a specific type or category of airport.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffb69812808190a751853b30183e65 |
completed | May 9, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69ffb63bdda88190a9dd8426dc0bad43 |
completed | May 9, 2026, 10:33 p.m. |
Created at: May 1, 2026, 2:01 a.m.