Triple

T15787867
Position Surface form Disambiguated ID Type / Status
Subject canton of Cuiseaux E382784 entity
Predicate contains P35 FINISHED
Object Le Fay
Le Fay is a small commune in the Saône-et-Loire department of eastern France, situated within the canton of Cuiseaux.
E1176197 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: Le Fay | Statement: [canton of Cuiseaux, contains, Le Fay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Fay
Context triple: [canton of Cuiseaux, contains, Le Fay]
  • A. Madame Dambreuse
    Madame Dambreuse is a wealthy, sophisticated Parisian society woman who becomes one of the central love interests in Gustave Flaubert’s novel "Sentimental Education."
  • B. Lucienne
    Lucienne is a feminine given name of French origin, traditionally used in Francophone countries.
  • C. Mathilde
    Mathilde was a medieval noblewoman, historically noted as a daughter of Bernard I, Duke of Saxony.
  • D. Mathilde
    Mathilde is a feminine given name of Germanic origin, commonly used in various European countries.
  • E. Mathilde
    "Mathilde" is a dramatic chanson by Belgian singer-songwriter Jacques Brel, known for its intense emotional narrative and theatrical style.
  • 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: Le Fay
Triple: [canton of Cuiseaux, contains, Le Fay]
Generated description
Le Fay is a small commune in the Saône-et-Loire department of eastern France, situated within the canton of Cuiseaux.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Le Fay
Target entity description: Le Fay is a small commune in the Saône-et-Loire department of eastern France, situated within the canton of Cuiseaux.
  • A. Madame Dambreuse
    Madame Dambreuse is a wealthy, sophisticated Parisian society woman who becomes one of the central love interests in Gustave Flaubert’s novel "Sentimental Education."
  • B. Lucienne
    Lucienne is a feminine given name of French origin, traditionally used in Francophone countries.
  • C. Mathilde
    Mathilde was a medieval noblewoman, historically noted as a daughter of Bernard I, Duke of Saxony.
  • D. Mathilde
    "Mathilde" is a dramatic chanson by Belgian singer-songwriter Jacques Brel, known for its intense emotional narrative and theatrical style.
  • E. Mathilde
    Mathilde is a feminine given name of Germanic origin, commonly used in various European countries.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e054048ff48190ad107c890ef73166 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a6365c8190833431cf079b21fb completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff916638048190ad4a6c85da9cef9d completed May 9, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69ff91cf6f7c81908361f85c9a98ae80 completed May 9, 2026, 7:58 p.m.
Created at: April 10, 2026, 4:48 a.m.