Triple

T9250845
Position Surface form Disambiguated ID Type / Status
Subject Barvikha E222318 entity
Predicate locatedNear P294 FINISHED
Object Rublyovka E783174 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: Rublyovka | Statement: [Barvikha, locatedNear, Rublyovka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rublyovka
Context triple: [Barvikha, locatedNear, Rublyovka]
  • A. Rublyovka chosen
    Rublyovka is an affluent suburban area west of Moscow, known for its luxury residences, elite communities, and concentration of Russia’s political and business elite.
  • B. Vladimirovka
    Vladimirovka was the original Russian settlement that later developed into the city of Yuzhno-Sakhalinsk on Sakhalin Island in Russia’s Far East.
  • C. Mikhaylovka
    Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
  • D. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • E. Bogdanovka
    Bogdanovka is a village in Ukraine known as the site of a World War II massacre of Jews and now commemorated as a Holocaust memorial location.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f9ade48190ac8425a1c6f066b1 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d110107c4c819091037d83362b0021 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:31 p.m.