Triple

T4400738
Position Surface form Disambiguated ID Type / Status
Subject Sergei Makarov E93608 entity
Predicate placeOfBirth P1 FINISHED
Object Chelyabinsk E366646 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: Chelyabinsk | Statement: [Sergei Makarov, placeOfBirth, Chelyabinsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelyabinsk
Context triple: [Sergei Makarov, placeOfBirth, Chelyabinsk]
  • A. Chelyabinsk chosen
    Chelyabinsk is a large industrial city in west-central Russia, located just east of the Ural Mountains and known as a major regional economic and transportation hub.
  • B. Yekaterinburg
    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.
  • C. Akhtubinsk
    Akhtubinsk is a town in southern Russia known for its location on the Volga River and its role as a regional transport and economic center.
  • D. Kaluga
    Kaluga is a historic city in western Russia known as a regional administrative center and an important site in several Russian uprisings and military campaigns.
  • E. 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.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352cd71ec8190a62320fd072f744f completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc1fe1188819097c3d382323571be completed March 22, 2026, 10:18 a.m.
Created at: March 12, 2026, 11:28 p.m.