Triple

T19425554
Position Surface form Disambiguated ID Type / Status
Subject AAR-02-01 E485970 entity
Predicate aircraftRegistrationInvestigated P123381 FINISHED
Object N963AS NE NERFINISHED

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: N963AS | Statement: [AAR-02-01, aircraftRegistrationInvestigated, N963AS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N963AS
Context triple: [AAR-02-01, aircraftRegistrationInvestigated, N963AS]
  • A. N963AS chosen
    N963AS is the registration identifier of the Alaska Airlines MD-83 aircraft involved in the January 31, 2000 crash of Flight 261 near Point Mugu, California.
  • B. N93
    The N93 is a Nokia smartphone from the mid-2000s known for its swivel design and advanced video recording capabilities for its time.
  • C. N92
    N92 is a Nokia smartphone model known for its early support of mobile TV and multimedia features.
  • D. N90
    N90 is a major French national road in the Alps that serves as a key access route to ski resorts and mountain towns in the Tarentaise Valley.
  • E. N90
    N90 is the Federal Aviation Administration’s New York Terminal Radar Approach Control facility responsible for managing approach and departure air traffic in the busy New York metropolitan airspace.
  • 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: aircraftRegistrationInvestigated
Context triple: [AAR-02-01, aircraftRegistrationInvestigated, N963AS]
  • A. aircraftRegistrationInvolved chosen
    Indicates that a specific aircraft registration is involved in, associated with, or affected by a particular event, action, or record.
  • B. aircraftRegistration
    Indicates that an aircraft is assigned a specific official registration identifier or code.
  • C. investigatesFlight
    Indicates that an entity conducts an inquiry or examination into a specific flight or flight-related incident.
  • D. airshipRegistration
    Indicates the formal registration relationship between an airship and the authority or registry that records its official details and identification.
  • E. usedByAircraftRegisteredIn
    Indicates that something (such as equipment, a system, or a facility) is utilized by aircraft that are registered in a specified jurisdiction or registry.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63218772c8190a48b6cb01bd12b73 completed April 20, 2026, 2:03 p.m.
PD Predicate disambiguation batch_69e4fd68b1f881908d273de1fee81a75 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:37 p.m.