Triple

T16244651
Position Surface form Disambiguated ID Type / Status
Subject S. Ansky E394338 entity
Predicate activeIn P1560 FINISHED
Object Pale of Settlement E310135 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: Pale of Settlement | Statement: [S. Ansky, activeIn, Pale of Settlement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pale of Settlement
Context triple: [S. Ansky, activeIn, Pale of Settlement]
  • A. Pale of Settlement chosen
    The Pale of Settlement was a designated region in the western part of the Russian Empire where permanent Jewish residence was legally allowed and largely confined from the late 18th to early 20th centuries.
  • B. Derazhnia
    Derazhnia is a small town in western Ukraine known as a local administrative and transportation center within the Khmelnytskyi region.
  • C. Тверца
    Тверца — река в Тверской области России, являющаяся притоком Волги и проходящая через город Торжок.
  • D. Kresy
    Kresy refers to the former eastern borderlands of the Second Polish Republic, historically multicultural regions that were annexed by the Soviet Union during and after World War II.
  • E. Hrebenne–Rava-Ruska
    Hrebenne–Rava-Ruska is a major road border crossing point between Poland and Ukraine, facilitating international travel and trade.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560c6848190ae0e85ecb11a9264 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee135b881909cc1b6919bc7af29 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.