Triple

T19070951
Position Surface form Disambiguated ID Type / Status
Subject Mlahsô E466788 entity
Predicate relatedLanguage P10003 FINISHED
Object Turoyo 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: Turoyo | Statement: [Mlahsô, relatedLanguage, Turoyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turoyo
Context triple: [Mlahsô, relatedLanguage, Turoyo]
  • A. Turoyo chosen
    Turoyo is a modern Neo-Aramaic language traditionally spoken by Syriac Orthodox Christian communities from the Tur Abdin region of southeastern Turkey and neighboring areas.
  • B. Talysh
    The Talysh are an Iranian ethnic group primarily inhabiting the southwestern coast of the Caspian Sea in northern Iran and southeastern Azerbaijan, with their own distinct Talysh language and cultural traditions.
  • C. Turiysk
    Turiysk is a small town in western Ukraine known for its historical roots and location within the Volyn region.
  • D. Tureck
    Tureck is a surname most notably associated with Rosalyn Tureck, the renowned American pianist and harpsichordist celebrated for her interpretations of J.S. Bach.
  • E. Halfeti
    Halfeti is a partially submerged historic town on the banks of the Euphrates River in southeastern Turkey, known for its distinctive black roses and picturesque, half-sunken buildings.
  • 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.