Triple
T30671654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myanmar Airways International |
E780807
|
entity |
| Predicate | hasCodeshareAgreementWith |
P10967
|
FINISHED |
| Object | Malaysia Airlines |
—
|
NE NERFINISHED |
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: Malaysia Airlines | Statement: [Myanmar Airways International, hasCodeshareAgreementWith, Malaysia Airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCodeshareAgreementWith Context triple: [Myanmar Airways International, hasCodeshareAgreementWith, Malaysia Airlines]
-
A.
associatedAirlineType
Indicates a relationship where an airline is linked to a specific classification or type (e.g., carrier category or operational class).
-
B.
hasCodeShareOrInterline
chosen
Indicates that there exists a codeshare or interline agreement relationship between the referenced transportation services or carriers.
-
C.
associatedAirlineICAOCode
Indicates the ICAO airline code that is linked to or used by the given entity (such as a flight, route, or service).
-
D.
associatedAirlineIATA
Indicates the IATA airline code that is linked or related to a given entity (such as a flight, route, or airport record).
-
E.
associatedWithIATAAirlineCode
Indicates that an entity is linked to or identified by a specific IATA airline code.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a017bc21b048190b9c680013de203b6 |
completed | May 11, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_6a017aa09c4481909c3b55e0cd13501e |
completed | May 11, 2026, 6:43 a.m. |
Created at: April 29, 2026, 8:32 p.m.