Triple

T7227785
Position Surface form Disambiguated ID Type / Status
Subject Petar E154824 entity
Predicate hasVariant P455 FINISHED
Object Petro E75297 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: Petro | Statement: [Petar, hasVariant, Petro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petro
Context triple: [Petar, hasVariant, Petro]
  • A. Petro chosen
    Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
  • B. Petro lwa
    Petro lwa are a fiery, aggressive family of spirits in Haitian Vodou associated with power, protection, and revolutionary energy.
  • C. Petrovich
    Petrovich is a Russian patronymic meaning "son of Pyotr (Peter)," commonly used as a middle name in Russian naming conventions.
  • D. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • E. Petrichenko
    Petrichenko is a Slavic surname, most notably borne by Stepan Petrichenko, a key figure in the Kronstadt rebellion of 1921.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9df72cc81908d1c04e6e310fbb4 completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d388ac40819095698776c7b9878f completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:54 p.m.