Triple
T18992041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Évaux-les-Bains |
E464708
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Clugnat
Clugnat is a rural commune in central France’s Creuse department, characterized by its countryside landscapes and traditional Limousin heritage.
|
E1353675
|
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: Clugnat | Statement: [canton of Évaux-les-Bains, contains, Clugnat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clugnat Context triple: [canton of Évaux-les-Bains, contains, Clugnat]
-
A.
Cugnaux
Cugnaux is a suburban commune in southwestern France, located near the city of Toulouse in the Haute-Garonne department.
-
B.
Trogneux
Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
-
C.
Ratagnon
Ratagnon are an indigenous people of southern Mindoro in the Philippines, known for their distinct language and traditional coastal and upland livelihoods.
-
D.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
-
E.
Bannalec
Bannalec is a commune in the Finistère department of Brittany in northwestern France, known for its rural character and Breton cultural heritage.
- 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: Clugnat Triple: [canton of Évaux-les-Bains, contains, Clugnat]
Generated description
Clugnat is a rural commune in central France’s Creuse department, characterized by its countryside landscapes and traditional Limousin heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clugnat Target entity description: Clugnat is a rural commune in central France’s Creuse department, characterized by its countryside landscapes and traditional Limousin heritage.
-
A.
Cugnaux
Cugnaux is a suburban commune in southwestern France, located near the city of Toulouse in the Haute-Garonne department.
-
B.
Trogneux
Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
-
C.
Ratagnon
Ratagnon are an indigenous people of southern Mindoro in the Philippines, known for their distinct language and traditional coastal and upland livelihoods.
-
D.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
-
E.
Bannalec
Bannalec is a commune in the Finistère department of Brittany in northwestern France, known for its rural character and Breton cultural heritage.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d67eedc88190bfb7b327b47db76d |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b455a9f081908df46b984b10e2fc |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b5dfac0c8190b67921280d5ab1fe |
completed | May 14, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b68aba3081908ca21d732e45f454 |
completed | May 14, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:01 p.m.