Triple

T2695168
Position Surface form Disambiguated ID Type / Status
Subject Central Athens regional unit E58494 entity
Predicate contains P35 FINISHED
Object Vyronas
Vyronas is a suburban municipality of Athens, Greece, known for its residential character and proximity to the city center.
E291386 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: Vyronas | Statement: [Central Athens regional unit, contains, Vyronas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vyronas
Context triple: [Central Athens regional unit, contains, Vyronas]
  • A. Skvyra
    Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
  • B. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • C. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • D. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • E. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • 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: Vyronas
Triple: [Central Athens regional unit, contains, Vyronas]
Generated description
Vyronas is a suburban municipality of Athens, Greece, known for its residential character and proximity to the city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vyronas
Target entity description: Vyronas is a suburban municipality of Athens, Greece, known for its residential character and proximity to the city center.
  • A. Skvyra
    Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
  • B. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • C. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • D. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • E. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda10a9bc81908473d02ab9116cef completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6804b48190ac0bfe464da93025 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb045e304819080efecf2738453e6 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ab2a8081909e729f883a7438d7 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.