Triple
T11237968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AV |
E265992
|
entity |
| Predicate | airlineSizeDescriptor |
P98614
|
FINISHED |
| Object | one of Latin America’s largest airlines |
—
|
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: one of Latin America’s largest airlines | Statement: [AV, airlineSizeDescriptor, one of Latin America’s largest airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineSizeDescriptor Context triple: [AV, airlineSizeDescriptor, one of Latin America’s largest airlines]
-
A.
airlineScale
Indicates that one airline is a subsidiary, regional brand, or otherwise operates at a smaller or supporting scale relative to another airline.
-
B.
iataAircraftTypeCode
Indicates the standardized IATA code that specifies the aircraft type used in a flight or aviation context.
-
C.
airlineFleetDesignation
Indicates the specific fleet or operational group within an airline to which an aircraft or service is assigned.
-
D.
airlineDesignatorType
Indicates the type or category of an airline’s designator code used to identify the carrier in transportation or scheduling contexts.
-
E.
designatedAirlineType
Indicates that an airline has been assigned a specific operational or classification type for a given context or service.
- F. None of above. chosen
Provenance (4 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e918375081908c2a7ccb50cbf331 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:30 p.m.