Triple

T19070996
Position Surface form Disambiguated ID Type / Status
Subject Surayt E466789 entity
Predicate alternativeName P39 FINISHED
Object Modern Surayt 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: Modern Surayt | Statement: [Surayt, alternativeName, Modern Surayt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modern Surayt
Context triple: [Surayt, alternativeName, Modern Surayt]
  • A. Surayt chosen
    Surayt is a modern Aramaic language variety traditionally spoken by Syriac Christian communities from the Tur Abdin region in southeastern Turkey and neighboring areas.
  • B. Aramaic language continuum
    The Aramaic language continuum is a group of closely related Semitic varieties, ancient and modern, that evolved from Old Aramaic and span a wide geographic and historical range across the Near East.
  • C. Middle Sabaic
    Middle Sabaic is a historical dialect of the Sabaic language used in ancient South Arabia, particularly associated with the later phases of the Sabaean kingdom’s written tradition.
  • D. Senhadja de Srair
    Senhadja de Srair are an Amazigh (Berber) ethnic group from the Rif region of northern Morocco, traditionally associated with the Senhadja de Srair language.
  • E. Classical Sabaic
    Classical Sabaic is the main ancient South Arabian language stage used in inscriptions of the Sabaean kingdom in what is now Yemen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19ea01c8190b9bb789da32f9a90 completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:04 p.m.