Triple

T21905553
Position Surface form Disambiguated ID Type / Status
Subject Chelmet Chelyabinsk E540926 entity
Predicate basedIn P40 FINISHED
Object Chelyabinsk, Russia NE NERFINISHED

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, Russia | Statement: [Chelmet Chelyabinsk, basedIn, Chelyabinsk, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelyabinsk, Russia
Context triple: [Chelmet Chelyabinsk, basedIn, Chelyabinsk, Russia]
  • 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. Krasnoyarsk, Russia
    Krasnoyarsk is a major industrial and cultural city in central Siberia, Russia, situated on the Yenisei River and known as a key hub of the region.
  • C. Irkutsk, Russia
    Irkutsk, Russia is a historic Siberian city near Lake Baikal known for its role as a cultural and educational center in eastern Russia.
  • D. Sovetsk, Russia
    Sovetsk is a town in Russia’s Kaliningrad Oblast, best known historically as the former East Prussian city of Tilsit, where the 1807 Treaties of Tilsit were signed.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d62a648190af7074251dc6a03a completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:35 p.m.