Triple
T22040740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polet Airlines |
E544630
|
entity |
| Predicate | operatedWideBodyAircraft |
P125702
|
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: [Polet Airlines, operatedWideBodyAircraft, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedWideBodyAircraft Context triple: [Polet Airlines, operatedWideBodyAircraft, yes]
-
A.
supportsWideBodyAircraft
Indicates that an entity (such as an airport, runway, or gate) is capable of accommodating and handling wide-body aircraft operations.
-
B.
operatesAircraftBrand
Indicates that an entity actively uses or runs aircraft belonging to a specified brand in its operations.
-
C.
operatedForAirline
Indicates that an aircraft or flight was operated on behalf of, or under the branding of, a particular airline.
-
D.
operatesUnderAirOperatorCertificateOf
Indicates that one entity conducts its aviation operations under the authority, terms, and oversight of another entity’s air operator certificate.
-
E.
aircraftTypesOperated
chosen
Indicates the types or models of aircraft that an entity (such as an airline or operator) uses or operates.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12828fc788190a22c0e9c2372656b |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:25 p.m.