Triple
T17011483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norra |
E412709
|
entity |
| Predicate | operationalRelationship |
P84787
|
FINISHED |
| Object | operates Finnair-branded flights |
—
|
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 Finnair-branded flights | Statement: [Norra, operationalRelationship, operates Finnair-branded flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalRelationship Context triple: [Norra, operationalRelationship, operates Finnair-branded flights]
-
A.
subjectRelation
chosen
Indicates that one entity stands in a specified relational role or connection to another entity.
-
B.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
C.
governanceRelation
Indicates a relationship in which one entity exercises authority, control, or oversight over another within a governance or decision-making structure.
-
D.
stepRelation
Indicates a relationship where one entity is a step-relative of another, such as a stepparent, stepchild, or stepsibling connection.
-
E.
strategicRelation
Indicates a relationship where entities are connected through plans, goals, or coordinated actions intended to achieve long-term or high-level objectives.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47bcb508190a799f0bad6b70245 |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.