Triple

T1055261
Position Surface form Disambiguated ID Type / Status
Subject Tosk E22786 entity
Predicate hasDialect P4251 FINISHED
Object Arvanitika
Arvanitika is a variety of Albanian traditionally spoken by the Arvanite communities in Greece, closely related to the Tosk dialect group.
 E125867 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: Arvanitika | Statement: [Tosk, hasDialect, Arvanitika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arvanitika
Context triple: [Tosk, hasDialect, Arvanitika]
  • A. Tzoumerka
    Tzoumerka is a mountainous region in the Epirus area of northwestern Greece, known for its rugged peaks, traditional stone villages, and scenic gorges.
  • B. Tsolikouri
    Tsolikouri is a white grape variety from western Georgia, especially valued in Imereti for producing fresh, aromatic wines with balanced acidity.
  • C. Igoumenitsa
    Igoumenitsa is a coastal city in northwestern Greece that serves as a key ferry and transport hub linking the Greek mainland with the Ionian Islands and Italy.
  • D. Kyrenaïkē
    Kyrenaïkē is the ancient Greek name for Cyrenaica, a historically significant coastal region of North Africa centered around the city of Cyrene.
  • E. Kalambaka
    Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
  • 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: Arvanitika
Triple: [Tosk, hasDialect, Arvanitika]
Generated description
Arvanitika is a variety of Albanian traditionally spoken by the Arvanite communities in Greece, closely related to the Tosk dialect group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arvanitika
Target entity description: Arvanitika is a variety of Albanian traditionally spoken by the Arvanite communities in Greece, closely related to the Tosk dialect group.
  • A. Tzoumerka
    Tzoumerka is a mountainous region in the Epirus area of northwestern Greece, known for its rugged peaks, traditional stone villages, and scenic gorges.
  • B. Tsolikouri
    Tsolikouri is a white grape variety from western Georgia, especially valued in Imereti for producing fresh, aromatic wines with balanced acidity.
  • C. Igoumenitsa
    Igoumenitsa is a coastal city in northwestern Greece that serves as a key ferry and transport hub linking the Greek mainland with the Ionian Islands and Italy.
  • D. Kyrenaïkē
    Kyrenaïkē is the ancient Greek name for Cyrenaica, a historically significant coastal region of North Africa centered around the city of Cyrene.
  • E. Kalambaka
    Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d79268819080f3f3f497e91c58 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c1b4c3481909ec58291dc9cc32f completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4cc47f808190a941b251715b4d64 completed March 7, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d6650f88190b9d4ee2fd5bc2f37 completed March 7, 2026, 4:08 p.m.
Created at: March 1, 2026, 7:42 p.m.