Triple

T19850532
Position Surface form Disambiguated ID Type / Status
Subject Kogan E476979 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Kohganov 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: Kohganov | Statement: [Kogan, hasAlternativeTransliteration, Kohganov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kohganov
Context triple: [Kogan, hasAlternativeTransliteration, Kohganov]
  • A. Kohanov chosen
    Kohanov is a surname, likely of Eastern European or Slavic origin, that appears as a variant form of the name Kohan.
  • B. Kogarah
    Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
  • C. Kökejin
    Kökejin was a Mongol noblewoman of the Yuan dynasty best known as the mother of Emperor Temür Khan.
  • D. Kohunlich
    Kohunlich is a large Maya archaeological site in southern Quintana Roo, Mexico, noted for its monumental architecture and well-preserved stucco masks.
  • E. Kornos
    Kornos is a village located on the Greek island of Lemnos in the North Aegean region.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65867b5408190bbd12ca567c4705f completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.