Triple

T35556586
Position Surface form Disambiguated ID Type / Status
Subject Lippisch Delta I E1027513 entity
Predicate aerodynamicType P19885 FINISHED
Object low-aspect-ratio delta wing LITERAL 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: low-aspect-ratio delta wing | Statement: [Lippisch Delta I, aerodynamicType, low-aspect-ratio delta wing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aerodynamicType
Context triple: [Lippisch Delta I, aerodynamicType, low-aspect-ratio delta wing]
  • A. aerodynamicsFeature chosen
    Indicates that one entity possesses or is characterized by a specific aerodynamic property, component, or design feature affecting airflow and motion through air.
  • B. aerodynamicsDerivedFrom
    Indicates that the aerodynamic properties or behavior of one entity are obtained, calculated, or inferred based on another entity (such as a model, dataset, or underlying theory).
  • C. aerodynamicGoal
    Indicates a goal or objective specifically related to aerodynamic performance, behavior, or properties in a given context.
  • D. aerodynamicLoad
    Indicates the force or stress exerted on an object due to its interaction with surrounding airflow.
  • E. aerodynamicsDeveloper
    Indicates that an entity (typically a person or organization) is responsible for designing, developing, or improving the aerodynamic properties of another entity.
  • 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_69f76e014fd481909e9f04ac603a2aa9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79a54aa3c8190b2bb5d790b2d42d4 completed May 3, 2026, 6:56 p.m.
PD Predicate disambiguation batch_69f7961970408190b669cc556e30a608 completed May 3, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:04 p.m.