Triple

T12916660
Position Surface form Disambiguated ID Type / Status
Subject Razgrad Province E309002 entity
Predicate hasSettlement P1068 FINISHED
Object Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
E1016571 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: Loznitsa | Statement: [Razgrad Province, hasSettlement, Loznitsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loznitsa
Context triple: [Razgrad Province, hasSettlement, Loznitsa]
  • A. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • B. Krolevets
    Krolevets is a small historic city in northeastern Ukraine known for its traditional weaving crafts and location within Sumy Oblast.
  • C. Lanivtsi
    Lanivtsi is a small town in western Ukraine known for its location within the historic region of Ternopil in Galicia.
  • D. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • E. Zakopianka
    Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
  • 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: Loznitsa
Triple: [Razgrad Province, hasSettlement, Loznitsa]
Generated description
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loznitsa
Target entity description: Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
  • A. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • B. Krolevets
    Krolevets is a small historic city in northeastern Ukraine known for its traditional weaving crafts and location within Sumy Oblast.
  • C. Lanivtsi
    Lanivtsi is a small town in western Ukraine known for its location within the historic region of Ternopil in Galicia.
  • D. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • E. Zakopianka
    Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a1e8088190af697629baecf59f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0e7e9fc8190ad065a587c6c45dd completed May 3, 2026, 3:28 a.m.
NEDg Description generation batch_69f6c5b5126081909e1f587b571a7f4e completed May 3, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69f6c635fc888190891a79da9d7984a0 completed May 3, 2026, 3:51 a.m.
Created at: April 9, 2026, 5:41 p.m.