Triple

T22617614
Position Surface form Disambiguated ID Type / Status
Subject Seafair Air Show E558189 entity
Predicate sponsor P67 FINISHED
Object The Boeing Company NE NERFINISHED

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: The Boeing Company | Statement: [Seafair Air Show, sponsor, The Boeing Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Boeing Company
Context triple: [Seafair Air Show, sponsor, The Boeing Company]
  • A. Boeing chosen
    Boeing is a major American aerospace company best known for designing and manufacturing commercial jetliners and military aircraft used worldwide.
  • B. Rockwell International
    Rockwell International was a major American manufacturing conglomerate best known in aerospace for building the Space Shuttle orbiters and contributing extensively to U.S. defense and space programs.
  • C. Lockheed Martin
    Lockheed Martin is a major American aerospace and defense company known for designing and producing advanced military aircraft, missiles, and space systems.
  • D. Lockheed
    Lockheed is a small, purple, dragon-like alien who serves as the loyal companion of the X-Men member Kitty Pryde in Marvel Comics.
  • E. Lockheed Aircraft Company
    Lockheed Aircraft Company was a major American aerospace manufacturer known for producing influential military and civilian aircraft throughout the 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f167ef7a148190870334af9c8b79a4 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:59 p.m.