Triple

T19827801
Position Surface form Disambiguated ID Type / Status
Subject municipality of Osečina E476372 entity
Predicate containsSettlement P847 FINISHED
Object Varna
Varna is a small settlement located within the municipality of Osečina in western Serbia.
 E1397184 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: Varna | Statement: [municipality of Osečina, containsSettlement, Varna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Varna
Context triple: [municipality of Osečina, containsSettlement, Varna]
  • A. Varna
    Varna is a major Bulgarian city on the Black Sea coast known as an important economic, cultural, and maritime center.
  • B. Velingrad
    Velingrad is a renowned Bulgarian spa town famous for its numerous mineral springs and status as one of the country’s leading balneological and wellness resorts.
  • C. Ruse
    Ruse is a residential suburb in the Macarthur region of Sydney, New South Wales, Australia.
  • D. 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.
  • E. 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.
  • 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: Varna
Triple: [municipality of Osečina, containsSettlement, Varna]
Generated description
Varna is a small settlement located within the municipality of Osečina in western Serbia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Varna
Target entity description: Varna is a small settlement located within the municipality of Osečina in western Serbia.
  • A. Varna
    Varna is a major Bulgarian city on the Black Sea coast known as an important economic, cultural, and maritime center.
  • B. Velingrad
    Velingrad is a renowned Bulgarian spa town famous for its numerous mineral springs and status as one of the country’s leading balneological and wellness resorts.
  • C. Ruse
    Ruse is a residential suburb in the Macarthur region of Sydney, New South Wales, Australia.
  • D. 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.
  • E. 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.
  • F. None of above. chosen

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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cc0f2c81908137caa4c2087027 completed April 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd5e2e08190a4a416ce2a3e7a36 completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07d01d78c481908faff4cb29e1494e completed May 16, 2026, 2:02 a.m.
NED2 Entity disambiguation (via description) batch_6a07d0d94c3881909ca241d22938637a completed May 16, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:50 p.m.