Triple

T16944359
Position Surface form Disambiguated ID Type / Status
Subject Vallée de l’Indre E411030 entity
Predicate hasVillage P4011 FINISHED
Object Veigné
Veigné is a commune in central France’s Indre-et-Loire department, known for its picturesque setting along the Indre River and its traditional village character.
 E1242074 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: Veigné | Statement: [Vallée de l’Indre, hasVillage, Veigné]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Veigné
Context triple: [Vallée de l’Indre, hasVillage, Veigné]
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • C. Vigeois
    Vigeois is a commune in the Corrèze department of central France, known for its historic abbey and picturesque rural setting.
  • D. Le Bry
    Le Bry is a Swiss municipality located in the canton of Fribourg, known for its proximity to the scenic Lake of Gruyère in the Gruyère region.
  • E. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • 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: Veigné
Triple: [Vallée de l’Indre, hasVillage, Veigné]
Generated description
Veigné is a commune in central France’s Indre-et-Loire department, known for its picturesque setting along the Indre River and its traditional village character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Veigné
Target entity description: Veigné is a commune in central France’s Indre-et-Loire department, known for its picturesque setting along the Indre River and its traditional village character.
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • C. Vigeois
    Vigeois is a commune in the Corrèze department of central France, known for its historic abbey and picturesque rural setting.
  • D. Le Bry
    Le Bry is a Swiss municipality located in the canton of Fribourg, known for its proximity to the scenic Lake of Gruyère in the Gruyère region.
  • E. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb08da88190b07c32652bbc1534 completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfea3bc88190acaa013169d607c5 completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d0b13f1c819091f3f8b966e36214 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d1ad6b7081908be76d70ad9e2075 completed May 10, 2026, 6:42 p.m.
Created at: April 10, 2026, 5:31 a.m.