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.