Triple

T172579
Position Surface form Disambiguated ID Type / Status
Subject Boeing E3507 entity
Predicate notableProduct P1448 FINISHED
Object Boeing 747-8 E22746 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 747-8 | Statement: [Boeing, notableProduct, Boeing 747-8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing 747-8
Context triple: [Boeing, notableProduct, Boeing 747-8]
  • A. 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.
  • B. Boeing 747 chosen
    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.
  • C. Boeing 787 Dreamliner
    The Boeing 787 Dreamliner is a long-haul, wide-body commercial airliner known for its fuel efficiency, extensive use of composite materials, and advanced passenger comfort features.
  • D. Boeing 747SP
    The Boeing 747SP is a shortened, long-range variant of the Boeing 747 airliner, notable for its use in specialized roles such as NASA’s SOFIA airborne observatory.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258e0b11c8190b7b5cf3c354c47ce completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a31c91b22c8190a1d04983ae4fd793 completed Feb. 28, 2026, 4:49 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.