Triple

T27976009
Position Surface form Disambiguated ID Type / Status
Subject سرخپوشان E706491 entity
Predicate نوع عبارت P163594 FINISHED
Object ترکیب وصفی در زبان فارسی 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: ترکیب وصفی در زبان فارسی | Statement: [سرخپوشان, نوع عبارت, ترکیب وصفی در زبان فارسی]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: نوع عبارت
Context triple: [سرخپوشان, نوع عبارت, ترکیب وصفی در زبان فارسی]
  • A. نوع عبارت chosen
    Indicates a classification relationship where something is identified as a particular type or category of expression or phrase.
  • B. expresses
    Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
  • C. oftenExpressedAs
    Indicates that one thing is frequently represented, stated, or manifested in the form of another.
  • D. linguisticType
    Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
  • E. sentenceType
    Indicates the classification of a sentence according to its communicative function or structural type (e.g., question, statement, command).
  • 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_69ef96b7f330819090f315318ba6977e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63fd79e4c8190af9263b679e5ff07 completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c6a8474819091b8c6fe98e3862d completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 7:41 p.m.