Triple

T22378434
Position Surface form Disambiguated ID Type / Status
Subject B720 E553206 entity
Predicate designatorForManufacturer P82737 FINISHED
Object Boeing NE NERFINISHED

How this triple was built (3 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: [B720, designatorForManufacturer, Boeing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boeing
Context triple: [B720, designatorForManufacturer, 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. 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.
  • C. 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.
  • D. Lockheed Aircraft Company
    Lockheed Aircraft Company was a major American aerospace manufacturer known for producing influential military and civilian aircraft throughout the 20th century.
  • E. Spirit AeroSystems
    Spirit AeroSystems is one of the world’s largest non-OEM designers and manufacturers of aerostructures for commercial and defense aircraft.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designatorForManufacturer
Context triple: [B720, designatorForManufacturer, Boeing]
  • A. manufacturerDesignation chosen
    Indicates that a specific designation, code, or model identifier has been assigned by the manufacturer to the referenced product or item.
  • B. designatorType
    Indicates the specific role or category of a designator used to identify or reference an entity within a system or context.
  • C. manufacturerCode
    Indicates the unique code assigned by a manufacturer to identify a specific product, component, or item it produces.
  • D. vendorDesignation
    Indicates that one entity assigns or recognizes a specific vendor status, label, or role for another entity within a business or procurement context.
  • E. manufacturerType
    Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
  • F. None of above.

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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582a04ac81908d4d389b150be7f1 completed April 29, 2026, 1 a.m.
PD Predicate disambiguation batch_69e73011e6388190a05edf137f488441 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:45 p.m.