Triple

T17766548
Position Surface form Disambiguated ID Type / Status
Subject Anatoly E443521 entity
Predicate hasLatinTransliteration P76738 FINISHED
Object Anatolii 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: Anatolii | Statement: [Anatoly, hasLatinTransliteration, Anatolii]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anatolii
Context triple: [Anatoly, hasLatinTransliteration, Anatolii]
  • A. Anatolii chosen
    Anatolii is a masculine given name, commonly used in Slavic countries as a variant of the name Anatoly.
  • B. Anatoli
    Anatoli is a small village in Greece that forms part of the Agia municipality in the regional unit of Larissa.
  • C. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • D. Sventsiany
    Sventsiany is a historical town in present-day Lithuania, known in Polish as Święciany and associated with the multicultural heritage of the former Grand Duchy of Lithuania.
  • E. Sakhno
    Sakhno is a Ukrainian surname most notably borne by actress Ivanna Sakhno.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fccb9881908923564bf319f3c1 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.