Triple

T6343835
Position Surface form Disambiguated ID Type / Status
Subject Unicode Hebrew block E142695 entity
Predicate hasRepresentativeCharacter P103 FINISHED
Object U+05D0 HEBREW LETTER ALEF 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: U+05D0 HEBREW LETTER ALEF | Statement: [Unicode Hebrew block, hasRepresentativeCharacter, U+05D0 HEBREW LETTER ALEF]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRepresentativeCharacter
Context triple: [Unicode Hebrew block, hasRepresentativeCharacter, U+05D0 HEBREW LETTER ALEF]
  • A. representsForCharacters
    Indicates that one entity performs a representation or advocacy role on behalf of specific characters.
  • B. areRepresentedBy
    Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
  • C. hasIconicCharacter
    Indicates that something is associated with a character widely recognized as emblematic or highly representative of it.
  • D. hasRepresentationIn chosen
    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.
  • E. hasRepresentativeFamily
    Indicates that an entity is associated with a particular family that serves as its representative or characteristic example.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0674702d08190806ef0998960b797 completed March 22, 2026, 10:03 p.m.
PD Predicate disambiguation batch_69c060ea1a988190889e47b7e0c819b8 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:31 p.m.