Triple

T19677585
Position Surface form Disambiguated ID Type / Status
Subject Ryazan Oblast Duma E472494 entity
Predicate meetsIn P40 FINISHED
Object Ryazan 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: Ryazan | Statement: [Ryazan Oblast Duma, meetsIn, Ryazan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryazan
Context triple: [Ryazan Oblast Duma, meetsIn, Ryazan]
  • A. Ryazan chosen
    Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
  • B. Ryazhsk
    Ryazhsk is a historic town in Ryazan Oblast, Russia, known as a former local administrative center dating back to the Russian Empire.
  • C. Voronezh
    Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
  • D. Yaroslavl
    Yaroslavl is a historic city in central Russia, located on the Volga River and known as one of the Golden Ring cities famed for its well-preserved medieval architecture and cultural heritage.
  • E. Bryansk
    Bryansk is a historic industrial city in western Russia near the border with Ukraine and Belarus, known as a major transport hub and regional administrative center.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bceef881909c5b655af709c8c6 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.