Triple
T18212991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic Airways |
E436079
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | OAL |
—
|
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: OAL | Statement: [Olympic Airways, ICAOcode, OAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OAL Context triple: [Olympic Airways, ICAOcode, OAL]
-
A.
OAL
OAL is the abbreviation for the Ordre des Arts et des Lettres, a French order of merit that honors significant contributions to the arts and literature.
-
B.
OAL
OAL is the California Office of Administrative Law, the state agency responsible for reviewing and approving regulations proposed by California’s executive branch agencies.
-
C.
OAL
OAL is the vehicle registration code used on license plates for the Ostallgäu district in Bavaria, Germany.
-
D.
OAL
chosen
OAL is the ICAO airline designator used to identify Olympic Air in international aviation operations.
-
E.
OALE
OALE is the law enforcement division of Florida’s Department of Agriculture and Consumer Services responsible for enforcing agricultural, consumer protection, and related state laws.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e22a26308190a6720b41a9bbfc2d |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.