Triple
T25447581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CHUI |
E637679
|
entity |
| Predicate | subsidiaryRelationship |
P76871
|
FINISHED |
| Object | Jambojet is a subsidiary of Kenya Airways |
—
|
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: Jambojet is a subsidiary of Kenya Airways | Statement: [CHUI, subsidiaryRelationship, Jambojet is a subsidiary of Kenya Airways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsidiaryRelationship Context triple: [CHUI, subsidiaryRelationship, Jambojet is a subsidiary of Kenya Airways]
-
A.
coreSubsidiaryOf
Indicates that one entity is a primary or central subsidiary that is owned or controlled by another entity.
-
B.
subsidiaryOrAsset
chosen
Indicates that one entity is owned, controlled, or held as a subsidiary company or asset by another entity.
-
C.
subsidiaryOrJointVenture
Indicates that one organization is either a subsidiary of, or a jointly owned venture with, another organization.
-
D.
usedBySubsidiaryOf
Indicates that something is used by an entity that is a subsidiary of another organization.
-
E.
stakeholderSubsidiary
Indicates that one entity is a subsidiary company or organization of another stakeholder entity.
- 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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f70518e48190ae918ff33e342c82 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 2:02 p.m.