Triple

T37240455
Position Surface form Disambiguated ID Type / Status
Subject Anton Rupert E923696 entity
Predicate hasPartInBusinessEmpire P197627 FINISHED
Object tobacco manufacturing 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: tobacco manufacturing | Statement: [Anton Rupert, hasPartInBusinessEmpire, tobacco manufacturing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPartInBusinessEmpire
Context triple: [Anton Rupert, hasPartInBusinessEmpire, tobacco manufacturing]
  • A. hasBusinessIn
    Indicates that one entity conducts, operates, or maintains business activities within the jurisdiction, location, or domain of another entity.
  • B. isStrategicAssetOf
    Indicates that one entity is considered a strategically important resource or capability for another entity, contributing significantly to its long-term goals or competitive advantage.
  • C. hasPartInBusinessGroup chosen
    Indicates that an entity is included as a component or member within a specified business group.
  • D. isPartOfBusinessArea
    Indicates that one entity belongs to, is included within, or falls under the scope of a particular business area.
  • E. associatedEmpire
    Indicates a relationship where one entity is linked or connected to a particular empire, typically as belonging to, originating from, or being under the influence or control of that empire.
  • 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_69f76ea9fee88190a589f661d95a7189 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a0049e40d60819081e3899d8d9fca51 completed May 10, 2026, 9:03 a.m.
PD Predicate disambiguation batch_6a0048c47b548190ad31b2901cc3784a completed May 10, 2026, 8:58 a.m.
Created at: May 3, 2026, 4:15 p.m.