Triple

T2219005
Position Surface form Disambiguated ID Type / Status
Subject New York–Paris E48096 entity
Predicate hasTypicalAircraftType P1524 FINISHED
Object Boeing 777 E23610 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: Boeing 777 | Statement: [New York–Paris, hasTypicalAircraftType, Boeing 777]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing 777
Context triple: [New York–Paris, hasTypicalAircraftType, Boeing 777]
  • A. Boeing 777 chosen
    The Boeing 777 is a long-range, wide-body twin-engine jet airliner widely used by airlines around the world for international passenger flights.
  • B. Boeing 767
    The Boeing 767 is a wide-body, twin-engine jet airliner widely used for medium- to long-haul commercial flights and cargo operations.
  • C. Boeing 747
    The Boeing 747 is a wide-body, long-range commercial airliner famous for its distinctive hump-backed upper deck and for revolutionizing mass international air travel as one of the first jumbo jets.
  • D. Boeing 737
    The Boeing 737 is a widely used narrow-body commercial jet airliner known for being one of the best-selling passenger aircraft in aviation history.
  • E. Boeing 757
    The Boeing 757 is a mid-size, narrow-body twin-engine jet airliner widely used for short- to medium- and some long-haul routes, known for its strong performance and versatility.
  • 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: hasTypicalAircraftType
Context triple: [New York–Paris, hasTypicalAircraftType, Boeing 777]
  • A. aircraftType chosen
    Indicates the specific model or category of aircraft associated with an entity or event.
  • B. hasBasedAircraft
    Indicates that an aircraft is regularly stationed or primarily based at a particular location or facility.
  • C. usedByAircraftType
    Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
  • D. usesCarrierAircraft
    Indicates that one entity employs or operates aircraft that are designed to be launched from and recovered by an aircraft carrier.
  • E. usedOnAircraftName
    Indicates that something is employed or applied on an aircraft identified by a specific name.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc011d50c8190b1c375cc633f8189 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69af176447d881909173c62cc8c394a0 completed March 9, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69abbdac31d8819092d17815e11921e9 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:46 p.m.