Triple

T12630475
Position Surface form Disambiguated ID Type / Status
Subject Greeks of Azov E301625 entity
Predicate affectedBy P9 FINISHED
Object Holodomor E3779 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: Holodomor | Statement: [Greeks of Azov, affectedBy, Holodomor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holodomor
Context triple: [Greeks of Azov, affectedBy, Holodomor]
  • A. Holodomor chosen
    The Holodomor was a man-made famine in Soviet Ukraine from 1932 to 1933 that caused the deaths of millions of Ukrainians and is widely regarded as a genocide.
  • B. Porajmos
    Porajmos is the term used to describe the genocide and systematic persecution of Roma and Sinti people by Nazi Germany and its allies during World War II.
  • C. Famine
    Famine is a novel by Todd Komarnicki, best known as a darkly comic, satirical work that explores human desperation and moral decay under extreme scarcity.
  • D. Famine
    Famine is one of the Four Horsemen of the Apocalypse, symbolizing extreme scarcity of food and widespread starvation.
  • E. Russian famine of 1601–1603
    The Russian famine of 1601–1603 was a catastrophic nationwide food crisis that killed hundreds of thousands and helped trigger the political chaos and dynastic struggles of Russia’s Time of Troubles.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610ce9e48190a496824002c0d2be completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686f9ba48190bd82b2bb037d7d7a completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:15 p.m.