Triple

T11326849
Position Surface form Disambiguated ID Type / Status
Subject Gouvy E268242 entity
Predicate hasSettlement P1068 FINISHED
Object Cherain
Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
 E919306 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: Cherain | Statement: [Gouvy, hasSettlement, Cherain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cherain
Context triple: [Gouvy, hasSettlement, Cherain]
  • A. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • B. Choëx
    Choëx is a village and former municipality in the canton of Valais in southwestern Switzerland, situated near the town of Monthey in the Rhône valley.
  • C. Cernières
    Cernières is a small locality situated within the canton of Breteuil in northern France.
  • D. Tergnier
    Tergnier is a commune in northern France known historically as a significant railway junction and industrial town in the Aisne department.
  • E. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • 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: Cherain
Triple: [Gouvy, hasSettlement, Cherain]
Generated description
Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cherain
Target entity description: Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • A. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • B. Choëx
    Choëx is a village and former municipality in the canton of Valais in southwestern Switzerland, situated near the town of Monthey in the Rhône valley.
  • C. Cernières
    Cernières is a small locality situated within the canton of Breteuil in northern France.
  • D. Tergnier
    Tergnier is a commune in northern France known historically as a significant railway junction and industrial town in the Aisne department.
  • E. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e52608b7348190875597513ca1a995 completed April 19, 2026, 6:59 p.m.
NEDg Description generation batch_69e52c82b6108190aec9b6e9d726f803 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531c2a4b88190bb1efd57536bae9a completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.