Triple
T2899752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houari Boumediene Airport |
E62626
|
entity |
| Predicate | operatesFlightsType |
P18239
|
FINISHED |
| Object | international 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: international flights | Statement: [Houari Boumediene Airport, operatesFlightsType, international flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesFlightsType Context triple: [Houari Boumediene Airport, operatesFlightsType, international flights]
-
A.
operatesFlightsTo
Indicates that one entity (typically an airline) runs or provides flight services to the location represented by the other entity.
-
B.
hasTypeOfFlights
chosen
Indicates that an entity offers, includes, or is associated with specific categories or kinds of flights.
-
C.
operatesFeederFlightsFor
Indicates that one airline or carrier runs connecting or short-haul feeder flights on behalf of, or in support of, another airline’s main services.
-
D.
operatesFlightsInRegion
Indicates that an airline or carrier runs or provides flight services within a specified geographic region.
-
E.
operatedCharterFlights
Indicates that an entity conducted or managed charter flight services for another entity or purpose.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0ad7bbc8190822738baa6935b74 |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:10 p.m.