Triple

T23279223
Position Surface form Disambiguated ID Type / Status
Subject Shapsugs E588810 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Abzakh 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: Abzakh | Statement: [Shapsugs, relatedEthnicGroup, Abzakh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abzakh
Context triple: [Shapsugs, relatedEthnicGroup, Abzakh]
  • A. Abzakh chosen
    The Abzakh are a subgroup of the Circassian people from the Northwest Caucasus, historically known for their resistance to Russian expansion and their suffering and mass displacement during the Circassian genocide.
  • B. Yagharek
    Yagharek is a wingless garuda and central figure in China Miéville’s novel "Perdido Street Station," whose quest for restored flight drives much of the story’s plot and moral tension.
  • C. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • D. Kharabali
    Kharabali is a town in southern Russia that serves as an administrative and economic center within Astrakhan Oblast.
  • E. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196419eac819081d0beb5767046dc completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:49 p.m.