Triple

T28107102
Position Surface form Disambiguated ID Type / Status
Subject Hungarian-Slovak E710392 entity
Predicate hasIdentityDimension P40349 FINISHED
Object ethnic identity 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: ethnic identity | Statement: [Hungarian-Slovak, hasIdentityDimension, ethnic identity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIdentityDimension
Context triple: [Hungarian-Slovak, hasIdentityDimension, ethnic identity]
  • A. hasDimensionID
    Indicates that an entity is associated with a specific dimension through its unique identifier.
  • B. hasIdentity
    Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
  • C. hasDimensionality
    Indicates that an entity possesses a specific number of dimensions or a particular dimensional structure.
  • D. hasIdentityComponent chosen
    Indicates that an entity includes or is associated with a specific component that contributes to or defines its identity.
  • E. hasIndividualDimension
    Indicates that an entity possesses a specific, separately identifiable dimension or measurable extent as an individual attribute.
  • 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_69ef9b71fdb081908b4a61cd7ff147c1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 9:09 p.m.