Triple

T18292863
Position Surface form Disambiguated ID Type / Status
Subject Russian pogroms of 1881–1882 E438158 entity
Predicate numberOfAffectedSettlements P131219 FINISHED
Object hundreds of towns and shtetls LITERAL 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: hundreds of towns and shtetls | Statement: [Russian pogroms of 1881–1882, numberOfAffectedSettlements, hundreds of towns and shtetls]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfAffectedSettlements
Context triple: [Russian pogroms of 1881–1882, numberOfAffectedSettlements, hundreds of towns and shtetls]
  • A. settlementEffect
    Indicates the impact or consequences that a particular settlement (such as a legal, financial, or dispute resolution agreement) has on the involved parties or situation.
  • B. numberOfEvacuatedSettlements
    Indicates the total count of settlements that have been evacuated.
  • C. hasHumanSettlement
    Indicates that a location or area contains or is the site of a human settlement, such as a town, village, or city.
  • D. settlementWavesOccurredUnder
    Indicates that specific settlement waves took place during the authority, governance, or tenure of a particular entity.
  • E. otherSettlement
    Indicates that one settlement is another, different settlement distinct from the primary or reference settlement.
  • F. None of above. chosen

Provenance (4 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50100d6488190bbe73668df9c4046 completed April 19, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69e44fdf43d08190bbcfb6b1fe3cc0ee completed April 19, 2026, 3:45 a.m.
PDg Predicate description generation batch_69e451a0ba208190a5fe92832a8f7a49 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 10:35 a.m.