Triple

T18401198
Position Surface form Disambiguated ID Type / Status
Subject SPECTRE E449998 entity
Predicate usesFrontOrganizations P33645 FINISHED
Object true 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: true | Statement: [SPECTRE, usesFrontOrganizations, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesFrontOrganizations
Context triple: [SPECTRE, usesFrontOrganizations, true]
  • A. hasFrontOrganization
    Indicates that an entity is represented, covered, or operated through another entity that serves as its front or façade organization.
  • B. usesOrganization
    Indicates that one entity makes use of, relies on, or operates through a particular organization to perform its functions or activities.
  • C. usesCoverOrganizations chosen
    Indicates that an entity operates through or makes use of front or intermediary organizations to conceal its true identity, role, or activities.
  • D. includesOrganization
    Indicates that one entity contains, encompasses, or has within it the specified organization as a component, member, or part.
  • E. hasOrganizationFor
    Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5195185b08190bd3b5471cdc047b0 completed April 19, 2026, 6:05 p.m.
PD Predicate disambiguation batch_69e44ff1f92c8190afbb8e85d12bf2a9 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:46 a.m.