Triple

T16486519
Position Surface form Disambiguated ID Type / Status
Subject Sviatoslav Olgovich E400458 entity
Predicate ruledIn P10353 FINISHED
Object Chernigov E1102780 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: Chernigov | Statement: [Sviatoslav Olgovich, ruledIn, Chernigov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chernigov
Context triple: [Sviatoslav Olgovich, ruledIn, Chernigov]
  • A. Chernigov chosen
    Chernigov is a historic city in northern Ukraine, one of the oldest in the region and a major political and cultural center of Kievan Rus'.
  • B. Gorodets
    Gorodets is an ancient Russian town on the Volga River, known as one of the oldest settlements in the Nizhny Novgorod region and historically significant as a medieval trading and craft center.
  • C. Černilov
    Černilov is a municipality and village in the Hradec Králové Region of the Czech Republic, known for its rural character and proximity to the city of Hradec Králové.
  • D. Berehove
    Berehove is a town in western Ukraine’s Zakarpattia region known for its significant Hungarian community, thermal baths, and wine-making traditions.
  • E. Zbarazh
    Zbarazh is a historic town in western Ukraine known for its medieval castle and role in regional political and military history.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e078d0c8190a5698a5eb9df22d4 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a168c081908f630b45bf85d9f6 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:13 a.m.