Triple
T27546729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ara Zobayan |
E695382
|
entity |
| Predicate | pilotLicenseType |
P19269
|
FINISHED |
| Object | commercial pilot certificate |
—
|
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: commercial pilot certificate | Statement: [Ara Zobayan, pilotLicenseType, commercial pilot certificate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilotLicenseType Context triple: [Ara Zobayan, pilotLicenseType, commercial pilot certificate]
-
A.
aviationLicense
Indicates that an entity holds an official authorization or certification to operate aircraft in aviation activities.
-
B.
aviationLicenseFrom
Indicates that an entity has obtained an aviation license issued by a specified authority or jurisdiction.
-
C.
typeOfLicense
chosen
Indicates the specific kind or category of license associated with an entity.
-
D.
pilotRequirement
Indicates that a certain condition, qualification, or resource is required in order for a pilot to operate or perform a specified activity.
-
E.
licensedPilotSince
Indicates that one entity has held a valid pilot’s license continuously since the date or time specified by the other entity.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f850d148190929315018576b731 |
completed | May 2, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:33 p.m.