Triple

T8796979
Position Surface form Disambiguated ID Type / Status
Subject LATAM Brasil E209312 entity
Predicate fleetType P6198 FINISHED
Object Boeing 777 E23610 NE 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: Boeing 777 | Statement: [LATAM Brasil, fleetType, Boeing 777]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing 777
Context triple: [LATAM Brasil, fleetType, 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 737-800
    The Boeing 737-800 is a widely used narrow-body commercial jet airliner known for short- to medium-haul flights and high fuel efficiency within the 737 Next Generation family.
  • D. Boeing 777X
    The Boeing 777X is Boeing’s latest generation long-range, wide-body twin-engine jet airliner, featuring new composite wings with folding wingtips and upgraded engines for improved efficiency and capacity.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa370d08190885ef65e3a3e56d3 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa046aabc8190abca2957593edc8b completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:44 p.m.