Triple

T5261535
Position Surface form Disambiguated ID Type / Status
Subject Varig E118834 entity
Predicate fleetTypeOperated P62605 FINISHED
Object Boeing 727 E21985 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 727 | Statement: [Varig, fleetTypeOperated, Boeing 727]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing 727
Context triple: [Varig, fleetTypeOperated, Boeing 727]
  • A. Boeing 727 chosen
    The Boeing 727 is a mid-sized, three-engine narrow-body jet airliner introduced in the 1960s that became one of the most widely used commercial aircraft for short- and medium-haul routes.
  • B. Boeing 720
    The Boeing 720 is a shorter-range, lighter derivative of the Boeing 707 jet airliner, designed primarily for medium-haul routes in the early jet age.
  • C. Boeing 707
    The Boeing 707 is a pioneering American jet airliner introduced in the late 1950s that helped usher in the modern era of commercial jet travel.
  • D. Douglas DC-8
    The Douglas DC-8 is a long-range, narrow-body jet airliner introduced in the late 1950s that became one of the early mainstays of commercial jet aviation.
  • E. 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.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84718f788190ab016ea45878b2a7 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06c3945c8190874ecd184fa886a0 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:50 p.m.