Triple

T35835496
Position Surface form Disambiguated ID Type / Status
Subject Queen Bess E1035922 entity
Predicate pilotLicenseFrom P67429 FINISHED
Object Fédération Aéronautique Internationale 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: Fédération Aéronautique Internationale | Statement: [Queen Bess, pilotLicenseFrom, Fédération Aéronautique Internationale]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pilotLicenseFrom
Context triple: [Queen Bess, pilotLicenseFrom, Fédération Aéronautique Internationale]
  • A. aviationLicenseFrom chosen
    Indicates that an entity has obtained an aviation license issued by a specified authority or jurisdiction.
  • B. aviationLicense
    Indicates that an entity holds an official authorization or certification to operate aircraft in aviation activities.
  • C. licensedPilotSince
    Indicates that one entity has held a valid pilot’s license continuously since the date or time specified by the other 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. issuedFirstPilotLicensesIn
    Indicates that an entity granted or distributed its first pilot licenses within a specified time period or at a particular point in time.
  • 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_69f76e192a94819082db360cb91e6a8d completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d219f8819081dc4ce3c83ca0cb completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.