Triple

T3584
Position Surface form Disambiguated ID Type / Status
Subject Association of Independent Technological Universities E67 entity
Predicate hasScope P397 FINISHED
Object national 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: national | Statement: [Association of Independent Technological Universities, hasScope, national]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScope
Context triple: [Association of Independent Technological Universities, hasScope, national]
  • A. hasRole
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • B. hasRepresentationIn
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • C. hasFeature
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • D. grantedTo
    Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
  • E. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • F. None of above. chosen

Provenance (4 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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a23bcc8eb48190b897cc331563980a completed Feb. 28, 2026, 12:50 a.m.
PD Predicate disambiguation batch_69a23994309081909ff3e869deef2156 completed Feb. 28, 2026, 12:40 a.m.
PDg Predicate description generation batch_69a23bcb4bbc819093775f623998d62d completed Feb. 28, 2026, 12:50 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.