Triple

T7481676
Position Surface form Disambiguated ID Type / Status
Subject Tatian E176772 entity
Predicate language P15 FINISHED
Object Syriac E7978 NE 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 | Statement: [Tatian, language, Syriac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syriac
Context triple: [Tatian, language, Syriac]
  • A. Syriac chosen
    Syriac is a dialect of Middle Aramaic that became a major literary and liturgical language of early Eastern Christianity and the Syriac Church tradition.
  • B. Aramaic
    Aramaic is an ancient Semitic language historically spoken in the Near East, notable as a lingua franca of empires and as the everyday language of parts of the biblical and early Christian world.
  • C. Eastern Aramaic
    Eastern Aramaic is a branch of the Aramaic language group comprising several modern and classical dialects historically spoken across Mesopotamia and surrounding regions.
  • D. Samaritan Aramaic
    Samaritan Aramaic is a distinct variety of Aramaic historically spoken and preserved in liturgical and literary traditions by the Samaritan community.
  • E. Classical Aramaic
    Classical Aramaic is the standardized literary and liturgical form of the Aramaic language used in antiquity, notably in religious texts and inscriptions across the Near East.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f534aa388190b3bb3e16be3a54c8 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83498965481909367681b63c5db63 completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:42 p.m.