Triple

T16830122
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Annecy E409125 entity
Predicate contains P35 FINISHED
Object Lovagny
Lovagny is a small commune in southeastern France’s Haute-Savoie department, known for its scenic setting near Annecy and the Gorges du Fier.
 E1297263 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: Lovagny | Statement: [Arrondissement of Annecy, contains, Lovagny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lovagny
Context triple: [Arrondissement of Annecy, contains, Lovagny]
  • A. Louvigny
    Louvigny is a small commune in northeastern France known for its proximity to the high-speed Lorraine TGV railway station.
  • B. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • C. Verzenay
    Verzenay is a renowned Grand Cru wine-producing village in France’s Champagne region, particularly noted for its Pinot Noir vineyards on the Montagne de Reims.
  • D. Juvigny
    Juvigny is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • E. Bovigny
    Bovigny is a village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • 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: Lovagny
Triple: [Arrondissement of Annecy, contains, Lovagny]
Generated description
Lovagny is a small commune in southeastern France’s Haute-Savoie department, known for its scenic setting near Annecy and the Gorges du Fier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lovagny
Target entity description: Lovagny is a small commune in southeastern France’s Haute-Savoie department, known for its scenic setting near Annecy and the Gorges du Fier.
  • A. Louvigny
    Louvigny is a small commune in northeastern France known for its proximity to the high-speed Lorraine TGV railway station.
  • B. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • C. Verzenay
    Verzenay is a renowned Grand Cru wine-producing village in France’s Champagne region, particularly noted for its Pinot Noir vineyards on the Montagne de Reims.
  • D. Juvigny
    Juvigny is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • E. Bovigny
    Bovigny is a village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b316acc881909c686add53d72388 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0328fce5e08190978999856bbd6498 completed May 12, 2026, 1:19 p.m.
NEDg Description generation batch_6a032a4f7f6081909aa860d7b461b9e4 completed May 12, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_6a032ab3a0d48190897789d9b91d9e1e completed May 12, 2026, 1:27 p.m.
Created at: April 10, 2026, 5:23 a.m.