Triple

T36598679
Position Surface form Disambiguated ID Type / Status
Subject Addai (pseudonymous authorship) E902864 entity
Predicate textualTransmissionLanguage P54680 FINISHED
Object Syriac manuscripts 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: Syriac manuscripts | Statement: [Addai (pseudonymous authorship), textualTransmissionLanguage, Syriac manuscripts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: textualTransmissionLanguage
Context triple: [Addai (pseudonymous authorship), textualTransmissionLanguage, Syriac manuscripts]
  • A. textualTransmission
    Indicates the transfer or communication of information through written or printed text from one source to another.
  • B. languageOfTransmission chosen
    Indicates the language used to convey or transmit the content or information in a given communication or resource.
  • C. hasTextualTransmission
    Indicates that a work, idea, or content has been passed down, preserved, or conveyed through written or textual forms over time.
  • D. languageText
    Indicates that a piece of text is expressed in, or associated with, a particular language.
  • E. textTranslation
    Indicates a relationship where one text is rendered into another language or form while preserving its original meaning.
  • 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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:11 p.m.