Triple

T4934821
Position Surface form Disambiguated ID Type / Status
Subject Battle of Varna E110786 entity
Predicate location P40 FINISHED
Object Varna E41324 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: Varna | Statement: [Battle of Varna, location, Varna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varna
Context triple: [Battle of Varna, location, Varna]
  • A. Varna chosen
    Varna is a major Bulgarian city on the Black Sea coast known as an important economic, cultural, and maritime center.
  • B. Ruse
    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.
  • C. Silistra
    Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
  • D. Tarnovo
    Tarnovo, often called Veliko Tarnovo, is a historic Bulgarian city famed as a medieval capital and cultural stronghold, known for its dramatic hillside setting and well-preserved architectural heritage.
  • E. Plovdiv
    Plovdiv is Bulgaria’s second-largest city and one of Europe’s oldest continuously inhabited urban centers, known for its Roman amphitheater, Old Town, and rich cultural heritage.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7066ed548190a76a9559f90e3869 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c4857cc819085fbdd996134a5e8 completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:30 p.m.