Triple

T9130452
Position Surface form Disambiguated ID Type / Status
Subject Mohamed Atta E219071 entity
Predicate tookFlightTrainingIn P87281 FINISHED
Object United States E14 NE FINISHED

How this triple was built (3 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: United States | Statement: [Mohamed Atta, tookFlightTrainingIn, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: United States
Context triple: [Mohamed Atta, tookFlightTrainingIn, United States]
  • A. United States of America chosen
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • B. USA
    USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
  • C. USA
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • D. Usan
    Usan is a small coastal village in Angus, Scotland, known for its fishing heritage and scenic North Sea shoreline.
  • E. EUA
    EUA (European University Association) is a major organization representing and supporting higher education institutions and national rectors’ conferences across Europe in areas such as policy, quality assurance, and institutional development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: tookFlightTrainingIn
Context triple: [Mohamed Atta, tookFlightTrainingIn, United States]
  • A. hasFlightTrainingActivity
    Indicates that an entity is involved in or associated with a flight training activity.
  • B. hasFixedWingTraining
    Indicates that an entity has received training in operating or working with fixed-wing aircraft.
  • C. hasFixedWingTrainingRole
    Indicates that an entity serves in a training capacity specifically related to the operation or use of fixed-wing aircraft.
  • D. hasHelicopterTrainingFields
    Indicates that an entity provides or includes designated fields or facilities specifically used for helicopter training activities.
  • E. hasHelicopterTrainingRole
    Indicates that an entity holds a role or position specifically related to the training or instruction of helicopter operations.
  • F. None of above. chosen

Provenance (5 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cdafb48190be5e62b15779d771 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0774f0d7c8190b071e5b161622355 completed April 4, 2026, 2:28 a.m.
PD Predicate disambiguation batch_69cc6601d77881908299d58db6e64937 completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc6a3c78388190a7436acc0e44ff55 completed April 1, 2026, 12:43 a.m.
Created at: March 30, 2026, 7:18 p.m.