Triple

T8735104
Position Surface form Disambiguated ID Type / Status
Subject Battle of Ruschuk E207360 entity
Predicate presentDayCity P11890 FINISHED
Object Ruse, Bulgaria E70722 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: Ruse, Bulgaria | Statement: [Battle of Ruschuk, presentDayCity, Ruse, Bulgaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruse, Bulgaria
Context triple: [Battle of Ruschuk, presentDayCity, Ruse, Bulgaria]
  • A. Ruse chosen
    Ruse is a major Bulgarian city and river port on the Danube, known for its elegant architecture and role as an important economic and transport hub.
  • B. Pazardzhik, Bulgaria
    Pazardzhik is a city in southern Bulgaria known as a regional administrative and cultural center on the banks of the Maritsa River.
  • C. Reutov
    Reutov is a town in western Russia that functions as a suburban satellite of Moscow, known for its residential areas and proximity to the capital.
  • D. Varna
    Varna is a major Bulgarian city on the Black Sea coast known as an important economic, cultural, and maritime center.
  • E. Pravets, Bulgaria
    Pravets, Bulgaria is a small town in western Bulgaria known as the birthplace of longtime communist leader Todor Zhivkov and for its role in the country’s electronics industry.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2b89988190bb7671e273026046 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152541308819098cdca4f3ba9011d completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 6:37 p.m.