Triple

T1886613
Position Surface form Disambiguated ID Type / Status
Subject Airbus A380 E39977 entity
Predicate competesWith P1375 FINISHED
Object Boeing 747-400 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 747-400 | Statement: [Airbus A380, competesWith, Boeing 747-400]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing 747-400
Context triple: [Airbus A380, competesWith, Boeing 747-400]
  • A. 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.
  • B. 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.
  • C. Airbus A340
    The Airbus A340 is a long-range, four-engine wide-body commercial airliner designed for intercontinental passenger flights.
  • D. 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.
  • E. McDonnell Douglas MD-11
    The McDonnell Douglas MD-11 is a long-range, wide-body trijet airliner developed as an advanced, stretched successor to the DC-10, used extensively for both passenger 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb12032c881909cd93e3601906f48 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ae4225081909ea0e59a5885cfc3 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:34 p.m.