Triple

T29351060
Position Surface form Disambiguated ID Type / Status
Subject Northern Kurdish E744313 entity
Predicate hasLatinAlphabetStandard P193475 FINISHED
Object Hawar alphabet NE NERFINISHED

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: Hawar alphabet | Statement: [Northern Kurdish, hasLatinAlphabetStandard, Hawar alphabet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLatinAlphabetStandard
Context triple: [Northern Kurdish, hasLatinAlphabetStandard, Hawar alphabet]
  • A. usesLatinAlphabetSince
    Indicates that an entity has employed the Latin alphabet as its writing system starting from a specific point in time and continuing thereafter.
  • B. hasLatinText
    Indicates that an entity possesses or is associated with text written in Latin.
  • C. hasUnicodeStandard
    Indicates that something conforms to, is defined by, or is associated with a particular version or aspect of the Unicode standard.
  • D. hasRomanizationStandard
    Indicates that an entity’s romanized form follows a specified romanization standard or system.
  • E. hasLatinizedName
    Indicates that an entity is associated with a version of its name that has been converted into Latin form or spelling.
  • 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_69f0a79a2d748190bc30abd469298b37 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69fd485f57dc8190820365396d041991 completed May 8, 2026, 2:20 a.m.
PD Predicate disambiguation batch_69fd47d35da081908bec8901018d186c completed May 8, 2026, 2:17 a.m.
PDg Predicate description generation batch_69fd485e0c20819099756b4fe39ac326 completed May 8, 2026, 2:20 a.m.
Created at: April 28, 2026, 2:06 p.m.