Triple

T11364014
Position Surface form Disambiguated ID Type / Status
Subject Dobrich E269156 entity
Predicate formerName P65 FINISHED
Object Bazargic
Bazargic is the historical name of the city now known as Dobrich, a major urban center in northeastern Bulgaria.
 E921506 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: Bazargic | Statement: [Dobrich, formerName, Bazargic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bazargic
Context triple: [Dobrich, formerName, Bazargic]
  • A. Borzna
    Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
  • B. Bazuel
    Bazuel is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • C. Barmal
    Barmal is a town in southeastern Afghanistan known for its location in Paktika Province near the border with Pakistan.
  • D. Barmedman
    Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
  • E. Blagar
    Blagar is a Papuan language spoken primarily on Pura and nearby islands in eastern Indonesia, belonging to the Alor–Pantar language family.
  • 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: Bazargic
Triple: [Dobrich, formerName, Bazargic]
Generated description
Bazargic is the historical name of the city now known as Dobrich, a major urban center in northeastern Bulgaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bazargic
Target entity description: Bazargic is the historical name of the city now known as Dobrich, a major urban center in northeastern Bulgaria.
  • A. Borzna
    Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
  • B. Bazuel
    Bazuel is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • C. Barmal
    Barmal is a town in southeastern Afghanistan known for its location in Paktika Province near the border with Pakistan.
  • D. Barmedman
    Barmedman is a small rural town in the Riverina region of New South Wales, Australia, known historically for its wheat farming and mineral springs.
  • E. Blagar
    Blagar is a Papuan language spoken primarily on Pura and nearby islands in eastern Indonesia, belonging to the Alor–Pantar language family.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea4589908190948a8225768e1eec completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5565df5508190aeda7d064bceb157 completed April 19, 2026, 10:25 p.m.
NEDg Description generation batch_69e562c6e7c8819098d22a6e0daa4a51 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a472f0c819086c1cccaa5ca0ae7 completed April 19, 2026, 11:50 p.m.
Created at: April 8, 2026, 9:33 p.m.