Triple

T14427818
Position Surface form Disambiguated ID Type / Status
Subject Falben E357739 entity
Predicate culturalInfluenceOn P9 FINISHED
Object Rus' lands E158473 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: Rus' lands | Statement: [Falben, culturalInfluenceOn, Rus' lands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rus' lands
Context triple: [Falben, culturalInfluenceOn, Rus' lands]
  • A. Kyivan Rus
    Kyivan Rus was a medieval East Slavic state centered in Kyiv that laid the cultural and political foundations for modern Ukraine, Russia, and Belarus.
  • B. Rusguniae
    Rusguniae was an important ancient coastal city in the Roman province of Mauretania Caesariensis, located in what is now northern Algeria.
  • C. Rus' chosen
    Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
  • D. Zemshchina
    Zemshchina was the portion of Muscovy’s territory and population left under traditional administration during Ivan the Terrible’s reign, contrasting with the tsar’s personally controlled Oprichnina.
  • E. European Russia
    European Russia is the western, more densely populated and industrialized part of Russia that lies within the European continent and includes major cities such as Moscow and Saint Petersburg.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91154de881909266ae88d1545685 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcfa1d88190b59cefd3e305f55f completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.