Triple

T10379486
Position Surface form Disambiguated ID Type / Status
Subject Alexey Shchusev E244596 entity
Predicate placeOfBirth P1 FINISHED
Object Kishinev E134770 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: Kishinev | Statement: [Alexey Shchusev, placeOfBirth, Kishinev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kishinev
Context triple: [Alexey Shchusev, placeOfBirth, Kishinev]
  • A. Tiraspol
    Tiraspol is the de facto capital and largest city of the unrecognized breakaway region of Transnistria in eastern Moldova.
  • B. Chișinău chosen
    Chișinău is the largest city and main political, economic, and cultural center of Moldova.
  • C. Minsk
    Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
  • D. Erivan uezd
    Erivan uezd was an administrative district of the Russian Empire located within the Erivan Governorate in the South Caucasus region.
  • E. Bakhchisarai
    Bakhchisarai is a historic town in Crimea that served as the political and cultural center of the Crimean Tatar khans, renowned for its palaces, mosques, and oriental architecture.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e991056c8190a981f717c51f1f72 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7958803e88190a7bbeda4f2c6f32c completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:03 p.m.