Triple
T22248815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Chalon-sur-Saône |
E549915
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mellecey
Mellecey is a commune in the Saône-et-Loire department of eastern France, known for its winegrowing landscape in the Burgundy region.
|
E1526933
|
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: Mellecey | Statement: [arrondissement of Chalon-sur-Saône, contains, Mellecey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mellecey Context triple: [arrondissement of Chalon-sur-Saône, contains, Mellecey]
-
A.
Meziella
Meziella is a small, lesser-known genus of flowering plants within the water milfoil family Haloragaceae.
-
B.
Mellau
Mellau is a picturesque alpine village in the Austrian state of Vorarlberg, known as a gateway to skiing and hiking in the Bregenzerwald region.
-
C.
Meyronnes
Meyronnes is a small mountain commune in southeastern France, situated in the Alps near the Italian border within the Ubaye Valley.
-
D.
Melle
Melle is a municipality in the Belgian province of East Flanders, known for its historic town center and proximity to the city of Ghent.
-
E.
Melle
Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
- 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: Mellecey Triple: [arrondissement of Chalon-sur-Saône, contains, Mellecey]
Generated description
Mellecey is a commune in the Saône-et-Loire department of eastern France, known for its winegrowing landscape in the Burgundy region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mellecey Target entity description: Mellecey is a commune in the Saône-et-Loire department of eastern France, known for its winegrowing landscape in the Burgundy region.
-
A.
Meziella
Meziella is a small, lesser-known genus of flowering plants within the water milfoil family Haloragaceae.
-
B.
Mellau
Mellau is a picturesque alpine village in the Austrian state of Vorarlberg, known as a gateway to skiing and hiking in the Bregenzerwald region.
-
C.
Meyronnes
Meyronnes is a small mountain commune in southeastern France, situated in the Alps near the Italian border within the Ubaye Valley.
-
D.
Melle
Melle is a municipality in the Belgian province of East Flanders, known for its historic town center and proximity to the city of Ghent.
-
E.
Melle
Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138bc69d48190b185d4b8f4089922 |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab65e6d088190b8ed638d8c57a243 |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab762ba7c8190a3a66c282de66392 |
completed | May 18, 2026, 6:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab7dc8dc08190a65c0a454f018b41 |
completed | May 18, 2026, 6:55 a.m. |
Created at: April 16, 2026, 8:38 p.m.