Triple

T11111168
Position Surface form Disambiguated ID Type / Status
Subject Enter Air E262757 entity
Predicate fleetIncludes P10916 FINISHED
Object Boeing 737-800 E618637 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 737-800 | Statement: [Enter Air, fleetIncludes, Boeing 737-800]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing 737-800
Context triple: [Enter Air, fleetIncludes, Boeing 737-800]
  • A. Boeing 737-800 chosen
    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.
  • B. Boeing 737-900ER
    The Boeing 737-900ER is an extended-range variant of the 737-900, designed as a high-capacity, single-aisle jetliner for medium-haul commercial flights.
  • C. 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.
  • D. Boeing 737-700
    The Boeing 737-700 is a member of Boeing's Next Generation 737 family, a twin-engine narrow-body jet airliner widely used for short- to medium-haul commercial flights.
  • E. Boeing 777
    The Boeing 777 is a long-range, wide-body twin-engine jet airliner widely used by airlines around the world for international passenger flights.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d759bc88190b670c373f3647a41 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.