Triple

T17547383
Position Surface form Disambiguated ID Type / Status
Subject Balagne E427363 entity
Predicate hasVillage P4011 FINISHED
Object Lumio
Lumio is a picturesque coastal village in the Balagne region of northwestern Corsica, known for its hillside setting overlooking the Mediterranean Sea.
 E1275667 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: Lumio | Statement: [Balagne, hasVillage, Lumio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lumio
Context triple: [Balagne, hasVillage, Lumio]
  • A. Lumi
    Lumi is a feminine given name used in various cultures, often associated with meanings related to light or snow.
  • B. Lumen
    Lumen is a telecommunications and technology company brand offering network, edge cloud, security, and communication services to businesses and enterprises.
  • C. Lumen
    Lumen is a lightweight PHP micro-framework created by the Laravel team, optimized for building fast microservices and APIs.
  • D. Lumen
    Lumen is a character or element from the work "Lumen in caelo," likely serving as a central or significant figure within that context.
  • E. Lumen
    Lumen is a philosophical science-fiction work by Camille Flammarion that explores themes of astronomy, reincarnation, and the nature of time and space through imaginative cosmic dialogues.
  • 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: Lumio
Triple: [Balagne, hasVillage, Lumio]
Generated description
Lumio is a picturesque coastal village in the Balagne region of northwestern Corsica, known for its hillside setting overlooking the Mediterranean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lumio
Target entity description: Lumio is a picturesque coastal village in the Balagne region of northwestern Corsica, known for its hillside setting overlooking the Mediterranean Sea.
  • A. Lumi
    Lumi is a feminine given name used in various cultures, often associated with meanings related to light or snow.
  • B. Lumen
    Lumen is a telecommunications and technology company brand offering network, edge cloud, security, and communication services to businesses and enterprises.
  • C. Lumen
    Lumen is a lightweight PHP micro-framework created by the Laravel team, optimized for building fast microservices and APIs.
  • D. Lumen
    Lumen is a character or element from the work "Lumen in caelo," likely serving as a central or significant figure within that context.
  • E. Lumen
    Lumen is a philosophical science-fiction work by Camille Flammarion that explores themes of astronomy, reincarnation, and the nature of time and space through imaginative cosmic dialogues.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454626cfc8190a2602ba4934b8e6d completed April 19, 2026, 4:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01d28f01588190b608e9e8c6c63635 completed May 11, 2026, 12:58 p.m.
NEDg Description generation batch_6a01d39bf344819096a89179137e22ab completed May 11, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a01d48da4b0819094d4e32847b97345 completed May 11, 2026, 1:07 p.m.
Created at: April 10, 2026, 5:49 a.m.