Triple

T4254860
Position Surface form Disambiguated ID Type / Status
Subject August Marks E95947 entity
Predicate usesCoverBusiness P33645 FINISHED
Object legitimate real estate ventures 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: legitimate real estate ventures | Statement: [August Marks, usesCoverBusiness, legitimate real estate ventures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCoverBusiness
Context triple: [August Marks, usesCoverBusiness, legitimate real estate ventures]
  • A. usesCoverOrganizations chosen
    Indicates that an entity operates through or makes use of front or intermediary organizations to conceal its true identity, role, or activities.
  • B. typicallyCovers
    Indicates that one entity is the kind of thing that usually or normally includes, addresses, or encompasses another entity.
  • C. usesBusinessModel
    Indicates that one entity operates according to, or applies in practice, the business model defined or provided by another entity.
  • D. mayCover
    Indicates that one entity is permitted or able to extend over, include, or provide coverage for another entity, either partially or fully.
  • E. usesBusinessSystem
    Indicates that one entity makes use of a particular business system to perform its operations, processes, or functions.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec036e8819087d8585170707545 completed March 12, 2026, 11:39 p.m.
PD Predicate disambiguation batch_69b347f73e008190a908a48ef389945a completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:06 p.m.