Triple

T25180133
Position Surface form Disambiguated ID Type / Status
Subject Desiro City E630559 entity
Predicate hasBodyshellMaterial P19785 FINISHED
Object aluminium 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: aluminium | Statement: [Desiro City, hasBodyshellMaterial, aluminium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBodyshellMaterial
Context triple: [Desiro City, hasBodyshellMaterial, aluminium]
  • A. carbodyMaterial chosen
    Indicates the material from which a vehicle’s body or main structural shell is made.
  • B. chassisMaterialFeature
    Indicates that an entity has a chassis characterized by a specific material-related feature or property.
  • C. hasBodyColor
    Indicates that an entity possesses a particular body color as one of its attributes.
  • D. chassisConstruction
    Indicates how the chassis of an object is built or assembled, specifying the construction method or structural design used.
  • E. hasInteriorColor
    Indicates that an entity possesses a specific color used on its interior surfaces or internal parts.
  • 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_69e75a88fdf081908e47ae6e195c14e1 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f46dc4c3308190b9cb0ff4cbdc08d5 completed May 1, 2026, 9:09 a.m.
PD Predicate disambiguation batch_69f4683472ec8190a483b3b8afe71720 completed May 1, 2026, 8:45 a.m.
Created at: April 21, 2026, 12:35 p.m.