Triple
T689702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SriLankan Airlines |
E13363
|
entity |
| Predicate | airlineAllianceMembership |
P16976
|
FINISHED |
| Object | Oneworld member airline |
—
|
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: Oneworld member airline | Statement: [SriLankan Airlines, airlineAllianceMembership, Oneworld member airline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineAllianceMembership Context triple: [SriLankan Airlines, airlineAllianceMembership, Oneworld member airline]
-
A.
servesAirlineAlliance
Indicates that an airline operates flights on behalf of, or under the branding of, a specific airline alliance.
-
B.
numberOfMemberAirlines
Indicates the total count of airlines that are members of a specified airline alliance or organization.
-
C.
linkedAirlineCountry
Indicates that there is an association between an airline and a country, such as the country where the airline is based, registered, or primarily operates.
-
D.
associatedWithIATAAirlineCode
Indicates that an entity is linked to or identified by a specific IATA airline code.
-
E.
airlineType
Indicates the classification or category of an airline based on its operational or service characteristics.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0ad379c81909003d35c63822780 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d221d38819083c0adda81f59b07 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.