Triple

T687384
Position Surface form Disambiguated ID Type / Status
Subject Moscow Oblast E13313 entity
Predicate contains P35 FINISHED
Object Zhukovsky E61661 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: Zhukovsky | Statement: [Moscow Oblast, contains, Zhukovsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhukovsky
Context triple: [Moscow Oblast, contains, Zhukovsky]
  • A. Zhukovsky chosen
    Zhukovsky is a town near Moscow, Russia, known as a major center of aviation research and industry.
  • B. Pushkin
    Pushkin is a town near Saint Petersburg, Russia, renowned for its imperial palaces and parks, including the famous Catherine Palace at Tsarskoye Selo.
  • C. Alexander Pechersky
    Alexander Pechersky was a Soviet Jewish Red Army officer who became a key leader of the 1943 prisoner uprising at the Sobibor extermination camp, one of the most significant acts of armed resistance during the Holocaust.
  • D. Alexander Pushkin
    Alexander Pushkin was a pioneering 19th-century Russian poet, playwright, and novelist widely regarded as the founder of modern Russian literature.
  • E. Mayakovskaya
    Mayakovskaya is a renowned Moscow Metro station celebrated for its elegant Stalin-era Art Deco architecture and status as one of the system’s most beautiful and historically significant stops.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0953fb481909e1d4177ee191351 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca352248190a3e1b4e4c58a1e7f completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.