Triple

T30145757
Position Surface form Disambiguated ID Type / Status
Subject Hannover-Stöcken plant E766247 entity
Predicate usesManufacturingConcept P118224 FINISHED
Object automotive assembly line 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: automotive assembly line | Statement: [Hannover-Stöcken plant, usesManufacturingConcept, automotive assembly line]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesManufacturingConcept
Context triple: [Hannover-Stöcken plant, usesManufacturingConcept, automotive assembly line]
  • A. usesManufacturingType chosen
    Indicates that one entity produces or processes something by applying a specific type or method of manufacturing.
  • B. usesProductionResourcesOf
    Indicates that one entity makes use of the production resources (such as facilities, equipment, or infrastructure) that belong to or are operated by another entity.
  • C. hasProductionFacilitiesIn
    Indicates that an entity operates or owns production facilities located within a specified geographic area or jurisdiction.
  • D. manufacturingModel
    Indicates that one entity serves as the manufacturing model, design, or template according to which another entity is produced or manufactured.
  • E. usesProductionModel
    Indicates that one entity employs or relies on another entity as its primary or official production model in practice.
  • 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_69f2247909048190ae86c2160cf8b566 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: April 29, 2026, 7:18 p.m.