Triple

T19037188
Position Surface form Disambiguated ID Type / Status
Subject Joseph Schenck E465901 entity
Predicate birthPlace P1 FINISHED
Object Rybinsk, Russian Empire 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: Rybinsk, Russian Empire | Statement: [Joseph Schenck, birthPlace, Rybinsk, Russian Empire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rybinsk, Russian Empire
Context triple: [Joseph Schenck, birthPlace, Rybinsk, Russian Empire]
  • A. city of Rybinsk
    The city of Rybinsk is a major industrial and river port city in western Russia, situated on the Volga River and historically known as an important transportation and trade hub.
  • B. Rybinsk chosen
    Rybinsk is a historic Russian city on the Volga River known for its role as a major river port and grain-shipping center.
  • C. Ozersk
    Ozersk is a closed Russian city in Chelyabinsk Oblast known for its nuclear industry and association with the Mayak production facility.
  • D. Rybinsk Reservoir
    Rybinsk Reservoir is a large artificial lake in Russia, created by damming the Volga and several tributaries, and is one of the country’s largest and historically most significant reservoirs.
  • E. Polevskoy
    Polevskoy is an industrial town in Russia’s Ural region, historically associated with copper mining and metallurgy.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d744b39881909334a80a4c15000b completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.