Triple

T1378566
Position Surface form Disambiguated ID Type / Status
Subject Breton E29282 entity
Predicate hasDialects P4251 FINISHED
Object Leoneg
Leoneg is a regional dialect of the Breton language traditionally spoken in parts of western Brittany, France.
 E158610 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: Leoneg | Statement: [Breton, hasDialects, Leoneg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leoneg
Context triple: [Breton, hasDialects, Leoneg]
  • A. Leone
    Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
  • B. Lebedus
    Lebedus was an ancient Greek city of Ionia on the western coast of Asia Minor, known as a minor but strategically located coastal settlement involved in regional trade and politics.
  • C. Sierra Leonean leone
    The Sierra Leonean leone is the official monetary unit of Sierra Leone, used for everyday transactions and economic activities throughout the country.
  • D. Leoncin
    Leoncin is a village in east-central Poland, historically notable as the birthplace of Nobel Prize–winning writer Isaac Bashevis Singer.
  • E. Koba
    Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
  • 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: Leoneg
Triple: [Breton, hasDialects, Leoneg]
Generated description
Leoneg is a regional dialect of the Breton language traditionally spoken in parts of western Brittany, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leoneg
Target entity description: Leoneg is a regional dialect of the Breton language traditionally spoken in parts of western Brittany, France.
  • A. Leone
    Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
  • B. Lebedus
    Lebedus was an ancient Greek city of Ionia on the western coast of Asia Minor, known as a minor but strategically located coastal settlement involved in regional trade and politics.
  • C. Sierra Leonean leone
    The Sierra Leonean leone is the official monetary unit of Sierra Leone, used for everyday transactions and economic activities throughout the country.
  • D. Leoncin
    Leoncin is a village in east-central Poland, historically notable as the birthplace of Nobel Prize–winning writer Isaac Bashevis Singer.
  • E. Koba
    Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3173548819082aec7c1af9c577c completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd48a48fc81908b156c273cb5dfc0 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd77d879881908decae7056bfd277 completed March 8, 2026, 1:57 a.m.
NED2 Entity disambiguation (via description) batch_69acd81c7c1081908b65ca5a57f8706e completed March 8, 2026, 1:59 a.m.
Created at: March 1, 2026, 7:59 p.m.