Triple

T14760892
Position Surface form Disambiguated ID Type / Status
Subject Willa Brown E346856 entity
Predicate aviationLicense P115695 FINISHED
Object private pilot license 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: private pilot license | Statement: [Willa Brown, aviationLicense, private pilot license]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aviationLicense
Context triple: [Willa Brown, aviationLicense, private pilot license]
  • A. aviationLicenseFrom
    Indicates that an entity has obtained an aviation license issued by a specified authority or jurisdiction.
  • B. aviationAuthority
    Indicates that one entity serves as the official aviation regulatory or oversight body responsible for governing, certifying, or supervising the other entity’s aviation-related activities.
  • C. licenseProducedAircraft
    Indicates that an entity manufactured an aircraft under a license agreement to produce a design created by another party.
  • 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. airborneQualified
    Indicates that an entity has successfully completed airborne training and is certified or qualified to conduct airborne (parachute) operations.
  • F. None of above. chosen

Provenance (4 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69de8c02e5c08190943c27594026faf7 completed April 14, 2026, 6:48 p.m.
PDg Predicate description generation batch_69de8f4b67cc8190b84b59fcec5cf579 completed April 14, 2026, 7:02 p.m.
Created at: April 10, 2026, 1:30 a.m.