Triple

T20368602
Position Surface form Disambiguated ID Type / Status
Subject Bulgarian State Railways E496983 entity
Predicate operatesRoute P3695 FINISHED
Object Sofia–Varna
Sofia–Varna is a major intercity rail route in Bulgaria connecting the capital Sofia with the Black Sea city of Varna.
 E41324 NE FINISHED

How this triple was built (4 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: Sofia–Varna | Statement: [Bulgarian State Railways, operatesRoute, Sofia–Varna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sofia–Varna
Context triple: [Bulgarian State Railways, operatesRoute, Sofia–Varna]
  • A. Varna
    Varna is a major Bulgarian city on the Black Sea coast known as an important economic, cultural, and maritime center.
  • B. Varna
    Varna is a small settlement located within the municipality of Osečina in western Serbia.
  • C. Svishtov
    Svishtov is a town in northern Bulgaria on the Danube River, known for its historical significance, including proximity to the ancient Roman military site of Novae.
  • D. Vratsa
    Vratsa is a city in northwestern Bulgaria known as an industrial and cultural center near the Balkan Mountains.
  • E. Yambol
    Yambol is a city in southeastern Bulgaria known for its location on the Tundzha River and its historical and cultural significance in the region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sofia–Varna
Triple: [Bulgarian State Railways, operatesRoute, Sofia–Varna]
Generated description
Sofia–Varna is a major intercity rail route in Bulgaria connecting the capital Sofia with the Black Sea city of Varna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sofia–Varna
Target entity description: Sofia–Varna is a major intercity rail route in Bulgaria connecting the capital Sofia with the Black Sea city of 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. Varna
    Varna is a small settlement located within the municipality of Osečina in western Serbia.
  • C. Svishtov
    Svishtov is a town in northern Bulgaria on the Danube River, known for its historical significance, including proximity to the ancient Roman military site of Novae.
  • D. Vratsa
    Vratsa is a city in northwestern Bulgaria known as an industrial and cultural center near the Balkan Mountains.
  • E. Yambol
    Yambol is a city in southeastern Bulgaria known for its location on the Tundzha River and its historical and cultural significance in the region.
  • F. None of above.

Provenance (5 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678734b188190bb2c5863023f9f8c completed April 20, 2026, 7:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a097eb1ae1c8190ac750488eb6526a5 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097fa00f508190af32ac64fb5d28e2 completed May 17, 2026, 8:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0980269dd081908784f56fe9f56113 completed May 17, 2026, 8:45 a.m.
Created at: April 16, 2026, 11:26 a.m.