Triple

T7429121
Position Surface form Disambiguated ID Type / Status
Subject Sovetsk, Kaliningrad Oblast, Russia E171443 entity
Predicate historicalName P65 FINISHED
Object Tilsit E163087 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: Tilsit | Statement: [Sovetsk, Kaliningrad Oblast, Russia, historicalName, Tilsit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tilsit
Context triple: [Sovetsk, Kaliningrad Oblast, Russia, historicalName, Tilsit]
  • A. Tilsit chosen
    Tilsit is a historic town in former East Prussia (now Sovetsk, Russia), best known as the site where Napoleon and Tsar Alexander I concluded the Treaties of Tilsit in 1807.
  • B. Kotlas
    Kotlas is a significant industrial and transport hub in northern Russia, located at the confluence of the Vychegda and Northern Dvina rivers.
  • C. Dinaburg
    Dinaburg is the historical name of the Latvian city now known as Daugavpils, an important cultural and economic center in the Latgale region.
  • D. Liman
    Liman is a surname most notably associated with American film director and producer Doug Liman.
  • E. Tivissa
    Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3082f188190af5673d18ac7e87e completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f0e28e88190805108dff740dda3 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:12 p.m.