Triple

T5839456
Position Surface form Disambiguated ID Type / Status
Subject Gorges du Fier E129554 entity
Predicate nearSettlement P3883 FINISHED
Object Lovagny
Lovagny is a small commune in southeastern France, known for its proximity to the scenic Gorges du Fier and the surrounding Alpine landscapes.
 E270625 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: [Gorges du Fier, nearSettlement, Lovagny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lovagny
Context triple: [Gorges du Fier, nearSettlement, Lovagny]
  • A. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • B. 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.
  • C. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • D. Gagny
    Gagny is a suburban commune in the eastern outskirts of Paris, France, known primarily as a residential town within the Seine-Saint-Denis department.
  • E. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • 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: [Gorges du Fier, nearSettlement, Lovagny]
Generated description
Lovagny is a small commune in southeastern France, known for its proximity to the scenic Gorges du Fier and the surrounding Alpine landscapes.
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, known for its proximity to the scenic Gorges du Fier and the surrounding Alpine landscapes.
  • A. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • B. 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.
  • C. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • D. Gagny
    Gagny is a suburban commune in the eastern outskirts of Paris, France, known primarily as a residential town within the Seine-Saint-Denis department.
  • E. Pougny chosen
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • F. None of above.

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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a852f88190a5d2c4b24ee17491 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19e4ec4819099fa5c6fe9a6a257 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a572f52481908fc4f2a833fd8edf completed March 23, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0a5d17d5c8190a5fe816d29400894 completed March 23, 2026, 2:30 a.m.
Created at: March 22, 2026, 3:54 p.m.