Triple

T9411489
Position Surface form Disambiguated ID Type / Status
Subject Chaim Soutine E226717 entity
Predicate birthPlace P1 FINISHED
Object Smilavichy E793632 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: Smilavichy | Statement: [Chaim Soutine, birthPlace, Smilavichy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smilavichy
Context triple: [Chaim Soutine, birthPlace, Smilavichy]
  • A. Smolevichi chosen
    Smolevichi is a town in Belarus that serves as an administrative and economic center within the Minsk Region.
  • B. Yurievichi
    Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
  • C. Baranavichy
    Baranavichy is a significant industrial and railway hub city in western Belarus.
  • D. Volkovysk
    Volkovysk is a historic town in present-day Belarus, known for its centuries-old Jewish community and changing rule under various Eastern European states.
  • E. Lokhvytsia
    Lokhvytsia is a town in central Ukraine, historically part of the Poltava region and known for its role in regional trade and agriculture.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd525785d48190a76c9940712e093a completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107ab67808190a9184c0e8c2e727f completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.