Triple

T14670542
Position Surface form Disambiguated ID Type / Status
Subject Ruse Province E344499 entity
Predicate hasTown P847 FINISHED
Object Vetovo
Vetovo is a small town in northeastern Bulgaria known for its location within the Danubian Plain and its diverse local community.
E1115505 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: Vetovo | Statement: [Ruse Province, hasTown, Vetovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vetovo
Context triple: [Ruse Province, hasTown, Vetovo]
  • A. Vigonovo
    Vigonovo is a small Italian town in the Veneto region, situated near Venice and known for its residential character and proximity to major transport routes.
  • B. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • C. Covanca
    Covanca is a locality associated with the Sector D – Pretos Forros and Covanca area, likely serving as one of the named communities or neighborhoods within that sector.
  • D. Borovo
    Borovo is a small Bulgarian town situated along the Danube River in northern Bulgaria’s Ruse Province.
  • E. Hvozdnica
    Hvozdnica is a small village and municipality in northern Slovakia known for its rural character and location within the Žilina 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: Vetovo
Triple: [Ruse Province, hasTown, Vetovo]
Generated description
Vetovo is a small town in northeastern Bulgaria known for its location within the Danubian Plain and its diverse local community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vetovo
Target entity description: Vetovo is a small town in northeastern Bulgaria known for its location within the Danubian Plain and its diverse local community.
  • A. Vigonovo
    Vigonovo is a small Italian town in the Veneto region, situated near Venice and known for its residential character and proximity to major transport routes.
  • B. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • C. Covanca
    Covanca is a locality associated with the Sector D – Pretos Forros and Covanca area, likely serving as one of the named communities or neighborhoods within that sector.
  • D. Borovo
    Borovo is a small Bulgarian town situated along the Danube River in northern Bulgaria’s Ruse Province.
  • E. Hvozdnica
    Hvozdnica is a small village and municipality in northern Slovakia known for its rural character and location within the Žilina 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54ef2908190b189ced65eec434a completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf07c7fa88190bb09f2f444d69786 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf2843a1c8190a14f4ac4d3157e05 completed May 8, 2026, 2:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdf35ce9c48190b3a107bda3ffd126 completed May 8, 2026, 2:29 p.m.
Created at: April 10, 2026, 1:27 a.m.