Triple

T10360438
Position Surface form Disambiguated ID Type / Status
Subject Marwan al-Shehhi E244118 entity
Predicate receivedFlightTrainingIn 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: [Marwan al-Shehhi, receivedFlightTrainingIn, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States
Context triple: [Marwan al-Shehhi, receivedFlightTrainingIn, 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 city in Ōita Prefecture, Japan, known for the historic Usa Jingū Shinto shrine.
  • C. 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.
  • D. USA
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • E. Usan
    Usan is a small coastal village in Angus, Scotland, known for its fishing heritage and scenic North Sea shoreline.
  • 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: receivedFlightTrainingIn
Context triple: [Marwan al-Shehhi, receivedFlightTrainingIn, United States]
  • A. tookFlightTrainingIn chosen
    Indicates that an entity received or completed flight training at or through a specified organization, location, or program.
  • B. hasFlightTrainingActivity
    Indicates that an entity is involved in or associated with a flight training activity.
  • C. hasFixedWingTraining
    Indicates that an entity has received training in operating or working with fixed-wing aircraft.
  • D. hasFixedWingTrainingRole
    Indicates that an entity serves in a training capacity specifically related to the operation or use of fixed-wing aircraft.
  • E. hasHelicopterTrainingFields
    Indicates that an entity provides or includes designated fields or facilities specifically used for helicopter training activities.
  • F. None of above.

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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9609c4481908b7d72ecf1adaa73 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb4f840c81909beaf910c1ac3751 completed April 9, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69d4dfa657f481909cc5cc8fec00ad19 completed April 7, 2026, 10:42 a.m.
Created at: April 6, 2026, 11:59 a.m.