Triple

T15543095
Position Surface form Disambiguated ID Type / Status
Subject Petrovskiy E370530 entity
Predicate hasTransliterationVariant P5923 FINISHED
Object Petrovski E1163352 NE FINISHED

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: Petrovski | Statement: [Petrovskiy, hasTransliterationVariant, Petrovski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrovski
Context triple: [Petrovskiy, hasTransliterationVariant, Petrovski]
  • A. Petrovich
    Petrovich is a Russian patronymic meaning "son of Pyotr (Peter)," commonly used as a middle name in Russian naming conventions.
  • B. Petrovsky chosen
    Petrovsky is a transliterated Russian surname commonly borne by individuals of Slavic origin and used in various cultural, historical, and geographical contexts.
  • C. Petrović
    Petrović is a common South Slavic surname, notably borne by Croatian basketball legend Dražen Petrović.
  • D. Petrov
    Petrov is an alias or alternate name used by Peter P. Peters.
  • E. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04432c3808190bb5b653bf8de30c6 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3be1b481909e35094e8088f836 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:07 a.m.