Triple

T18310710
Position Surface form Disambiguated ID Type / Status
Subject Oghur Turkic E438616 entity
Predicate spokenBy P2181 FINISHED
Object Sabirs 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: Sabirs | Statement: [Oghur Turkic, spokenBy, Sabirs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabirs
Context triple: [Oghur Turkic, spokenBy, Sabirs]
  • A. Sabirs chosen
    The Sabirs were a nomadic Turkic people of Late Antiquity and the early Middle Ages, known for their military prowess and role in the Eurasian steppe power dynamics.
  • B. Sambir
    Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
  • C. Shaiba
    Shaiba is a location in southern Iraq notable as the site of the World War I Battle of Shaiba between British and Ottoman forces.
  • D. Sira
    Sira is a historic town in the Tumakuru district of Karnataka, India, known for its former prominence as a regional administrative and military center under various South Indian and Mughal-era rulers.
  • E. Sabile
    Sabile is a small Latvian town in the Kurzeme region, known for its historic wine hill and picturesque setting along the River Abava.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e502180d208190ae7c4f3d0ef3dc55 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.