Triple
T5002186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AS |
E112398
|
entity |
| Predicate | airlineSubsidiaryRelationship |
P41159
|
FINISHED |
| Object | operates in conjunction with Horizon Air |
—
|
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: operates in conjunction with Horizon Air | Statement: [AS, airlineSubsidiaryRelationship, operates in conjunction with Horizon Air]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineSubsidiaryRelationship Context triple: [AS, airlineSubsidiaryRelationship, operates in conjunction with Horizon Air]
-
A.
airlineParentCompany
Indicates that one company is the parent or owning company of an airline.
-
B.
airlineAssociatedBrand
chosen
Indicates that a brand is commercially or operationally associated with a particular airline, such as through co-branding, partnership, or subsidiary relationships.
-
C.
successorAirline
Indicates that one airline has taken over, replaced, or continued the operations of another airline as its successor.
-
D.
associatedAirlineGroup
Indicates a relationship where an airline is linked or belongs to a specific airline group or alliance.
-
E.
servesAirline
Indicates that a transportation facility or location provides service for, or is regularly used by, a specified airline.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.