Triple
T33647678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norse Atlantic ASA |
E862003
|
entity |
| Predicate | airlineSubsidiary |
P41157
|
FINISHED |
| Object | Norse Atlantic 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: Norse Atlantic Airways | Statement: [Norse Atlantic ASA, airlineSubsidiary, Norse Atlantic Airways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineSubsidiary Context triple: [Norse Atlantic ASA, airlineSubsidiary, Norse Atlantic Airways]
-
A.
usedByAirlineSubsidiaryOf
Indicates that something (such as an asset, service, or resource) is utilized by an airline that operates as a subsidiary of another airline or parent company.
-
B.
airlineParentCompany
chosen
Indicates that one company is the parent or owning company of an airline.
-
C.
hasSisterAirline
Indicates that one airline is related to another as its sister airline, typically sharing common ownership, management, or branding.
-
D.
usedByAirlineAlsoKnownAs
Indicates that an item (such as a code, name, or identifier) is used by an airline that is also known by an alternative name.
-
E.
airlineAssociatedBrand
Indicates that a brand is commercially or operationally associated with a particular airline, such as through co-branding, partnership, or subsidiary relationships.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:42 a.m.