Triple

T4379546
Position Surface form Disambiguated ID Type / Status
Subject Veria E99094 entity
Predicate hasNameInGreek P3659 FINISHED
Object Βέροια
Βέροια is a historic city in northern Greece, located in Central Macedonia and known for its rich Byzantine heritage and proximity to Mount Vermio.
 E435772 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: Βέροια | Statement: [Veria, hasNameInGreek, Βέροια]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Βέροια
Context triple: [Veria, hasNameInGreek, Βέροια]
  • A. Arachova
    Arachova is a picturesque mountain town in central Greece, known for its traditional stone architecture, ski resort, and proximity to the ancient site of Delphi.
  • B. Konitsa
    Konitsa is a town in northwestern Greece known for its mountainous landscape, traditional stone architecture, and proximity to the Albanian border.
  • C. Larissa
    Larissa is a major city in central Greece known as an important agricultural, commercial, and transportation hub of the Thessaly region.
  • D. Larissa
    Larissa is one of Neptune’s small, irregularly shaped inner moons, discovered in 1981 and composed primarily of dark, icy material.
  • E. Volissos
    Volissos is a traditional village on the Greek island of Chios, known for its medieval castle, stone houses, and scenic hillside setting overlooking the sea.
  • 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: Βέροια
Triple: [Veria, hasNameInGreek, Βέροια]
Generated description
Βέροια is a historic city in northern Greece, located in Central Macedonia and known for its rich Byzantine heritage and proximity to Mount Vermio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Βέροια
Target entity description: Βέροια is a historic city in northern Greece, located in Central Macedonia and known for its rich Byzantine heritage and proximity to Mount Vermio.
  • A. Arachova
    Arachova is a picturesque mountain town in central Greece, known for its traditional stone architecture, ski resort, and proximity to the ancient site of Delphi.
  • B. Konitsa
    Konitsa is a town in northwestern Greece known for its mountainous landscape, traditional stone architecture, and proximity to the Albanian border.
  • C. Larissa
    Larissa is a major city in central Greece known as an important agricultural, commercial, and transportation hub of the Thessaly region.
  • D. Larissa
    Larissa is one of Neptune’s small, irregularly shaped inner moons, discovered in 1981 and composed primarily of dark, icy material.
  • E. Volissos
    Volissos is a traditional village on the Greek island of Chios, known for its medieval castle, stone houses, and scenic hillside setting overlooking the sea.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3524154dc81908532cdf997dcb802 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51c87908190a561513ec64a2d72 completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e72525248190bfe813f61355c19c completed March 14, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_69b5e78e07388190b40e6d9817c44c9e completed March 14, 2026, 10:56 p.m.
Created at: March 12, 2026, 11:18 p.m.