Triple
T10413396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPARROW |
E245452
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | SAS Ireland |
E48743
|
NE 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: SAS Ireland | Statement: [SPARROW, usedBy, SAS Ireland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAS Ireland Context triple: [SPARROW, usedBy, SAS Ireland]
-
A.
SAS Ireland
chosen
SAS Ireland is an Irish-based airline subsidiary of Scandinavian Airlines (SAS) that operates flights within Europe as part of the Star Alliance network.
-
B.
SAS Group
SAS Group is a British special forces unit renowned for its elite soldiers and covert military operations.
-
C.
SAS Group
SAS Group is a Scandinavian airline holding company that operates Scandinavian Airlines and related aviation businesses across Northern Europe.
-
D.
SAS Institute
SAS Institute is an American analytics software company best known for its SAS statistical analysis suite used widely in business, government, and academia.
-
E.
SAS Technical Services
SAS Technical Services is the maintenance, repair, and engineering support arm of the SAS Group, providing technical services for the airline’s fleet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0ec6fc8190a71af759226a3cba |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94afc8ef0819093791447d3c3c018 |
completed | April 10, 2026, 7:09 p.m. |
Created at: April 6, 2026, 12:10 p.m.