Triple

T1301028
Position Surface form Disambiguated ID Type / Status
Subject Alix of Hesse and by Rhine E27763 entity
Predicate placeOfDeath P21 FINISHED
Object Yekaterinburg E38566 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: Yekaterinburg | Statement: [Alix of Hesse and by Rhine, placeOfDeath, Yekaterinburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yekaterinburg
Context triple: [Alix of Hesse and by Rhine, placeOfDeath, Yekaterinburg]
  • A. Yekaterinburg chosen
    Yekaterinburg is a major industrial and cultural city in Russia’s Ural region, historically known as the site of the execution of the last Russian tsar, Nicholas II, and his family.
  • B. Omsk
    Omsk is one of the largest cities in southwestern Siberia, Russia, serving as a major industrial, cultural, and transportation hub on the Irtysh River.
  • C. Novosibirsk
    Novosibirsk is a major city in southwestern Siberia and the third-largest city in Russia, known as an important industrial, scientific, and cultural center.
  • D. Nizhny Tagil
    Nizhny Tagil is a major industrial city in Russia’s Sverdlovsk Oblast, historically known for its metallurgical plants and role in the country’s heavy industry.
  • E. Krasnoyarsk
    Krasnoyarsk is a large industrial and cultural city in central Russia, situated on the Yenisei River and known as one of the key urban centers of Siberia.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1145c2481908adf22dfd6ce349b completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab797c48190a3a2f7313638f594 completed March 8, 2026, 9:31 p.m.
Created at: March 1, 2026, 7:51 p.m.