Triple
T20907812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasaya Airways |
E514850
|
entity |
| Predicate | allianceOrOwnership |
P141643
|
FINISHED |
| Object | First Nations owned 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: First Nations owned airline | Statement: [Wasaya Airways, allianceOrOwnership, First Nations owned airline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allianceOrOwnership Context triple: [Wasaya Airways, allianceOrOwnership, First Nations owned airline]
-
A.
allianceType
Indicates the specific kind or category of alliance relationship that exists between entities.
-
B.
allianceStatus
Indicates the formal or informal cooperative relationship between entities, such as whether they are allies, neutral, or adversarial.
-
C.
involvesAlliance
Indicates that there exists a cooperative or strategic alliance relationship between the referenced entities.
-
D.
allianceRole
Indicates the specific function, status, or responsibility an entity holds within an alliance or cooperative partnership.
-
E.
allianceDesignation
Indicates a formal relationship in which one entity designates or classifies another as an ally within an alliance.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e900ee7881909ab1046b40dca486 |
completed | April 21, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:47 p.m.