Triple

T3135949
Position Surface form Disambiguated ID Type / Status
Subject Exploration Upper Stage E65529 entity
Predicate manufacturer P490 FINISHED
Object Boeing E3507 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 | Statement: [Exploration Upper Stage, manufacturer, Boeing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing
Context triple: [Exploration Upper Stage, manufacturer, Boeing]
  • 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. Spirit AeroSystems
    Spirit AeroSystems is one of the world’s largest non-OEM designers and manufacturers of aerostructures for commercial and defense aircraft.
  • D. Lockheed Martin
    Lockheed Martin is a major American aerospace and defense company known for designing and producing advanced military aircraft, missiles, and space systems.
  • E. McDonnell Douglas
    McDonnell Douglas was a major American aerospace manufacturer and defense contractor known for producing commercial airliners and military aircraft before merging with Boeing in 1997.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5637de0819089393429c4017298 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7f9e288190af5f2b2aa6ff63b3 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:05 p.m.