Triple

T9291249
Position Surface form Disambiguated ID Type / Status
Subject Aisne E223521 entity
Predicate contains P35 FINISHED
Object Villeneuve-Saint-Germain
Villeneuve-Saint-Germain is a commune in the Aisne department of northern France, situated near the city of Soissons.
 E798803 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: Villeneuve-Saint-Germain | Statement: [Aisne, contains, Villeneuve-Saint-Germain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Villeneuve-Saint-Germain
Context triple: [Aisne, contains, Villeneuve-Saint-Germain]
  • A. Villeneuve-Saint-Georges
    Villeneuve-Saint-Georges is a suburban commune in the southeastern outskirts of Paris, France, known for its major railway junction and diverse residential neighborhoods.
  • B. Villeneuve-la-Garenne
    Villeneuve-la-Garenne is a suburban commune in the northern part of the Paris metropolitan area in France.
  • C. Chevry
    Chevry is a small French commune located in eastern France within the Ain department, near the Swiss border and the city of Geneva.
  • D. Grigny
    Grigny is a suburban commune in the southern outskirts of Paris, France, known for its large housing estates and diverse population.
  • E. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • 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: Villeneuve-Saint-Germain
Triple: [Aisne, contains, Villeneuve-Saint-Germain]
Generated description
Villeneuve-Saint-Germain is a commune in the Aisne department of northern France, situated near the city of Soissons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Villeneuve-Saint-Germain
Target entity description: Villeneuve-Saint-Germain is a commune in the Aisne department of northern France, situated near the city of Soissons.
  • A. Villeneuve-Saint-Georges
    Villeneuve-Saint-Georges is a suburban commune in the southeastern outskirts of Paris, France, known for its major railway junction and diverse residential neighborhoods.
  • B. Villeneuve-la-Garenne
    Villeneuve-la-Garenne is a suburban commune in the northern part of the Paris metropolitan area in France.
  • C. Chevry
    Chevry is a small French commune located in eastern France within the Ain department, near the Swiss border and the city of Geneva.
  • D. Grigny
    Grigny is a suburban commune in the southern outskirts of Paris, France, known for its large housing estates and diverse population.
  • E. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0865a7108190b807afd259980db2 completed April 1, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1101359048190b37547d1fedb3bb1 completed April 4, 2026, 1:20 p.m.
NEDg Description generation batch_69d110ca72088190b9a65529801784a5 completed April 4, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_69d1112224488190aeae685a1681539f completed April 4, 2026, 1:24 p.m.
Created at: March 30, 2026, 7:35 p.m.