Triple
T17600332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Saint-Affrique |
E428680
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lacaune
Lacaune is a commune in southern France, known for its mountainous setting in the Massif Central and its traditional charcuterie production.
|
E1278281
|
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: Lacaune | Statement: [canton of Saint-Affrique, contains, Lacaune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lacaune Context triple: [canton of Saint-Affrique, contains, Lacaune]
-
A.
Boissonnas
Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
-
B.
Targnon
Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
-
C.
Monpezat
Monpezat is a French noble family name associated with Prince Henrik of Denmark and his descendants.
-
D.
Malaucène
Malaucène is a picturesque Provençal village in southeastern France, known as a popular base for cyclists and tourists visiting and climbing Mont Ventoux.
-
E.
Chassezac
The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
- 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: Lacaune Triple: [canton of Saint-Affrique, contains, Lacaune]
Generated description
Lacaune is a commune in southern France, known for its mountainous setting in the Massif Central and its traditional charcuterie production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lacaune Target entity description: Lacaune is a commune in southern France, known for its mountainous setting in the Massif Central and its traditional charcuterie production.
-
A.
Boissonnas
Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
-
B.
Targnon
Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
-
C.
Monpezat
Monpezat is a French noble family name associated with Prince Henrik of Denmark and his descendants.
-
D.
Malaucène
Malaucène is a picturesque Provençal village in southeastern France, known as a popular base for cyclists and tourists visiting and climbing Mont Ventoux.
-
E.
Chassezac
The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4812d48190bf8e899fa8f7fbe4 |
completed | April 19, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e81b951c81908969e6d2f952efc4 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01ef0a9fb48190ac9d38f027ceb728 |
completed | May 11, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ef87c62c8190b9a3cd936542d7b4 |
completed | May 11, 2026, 3:02 p.m. |
Created at: April 10, 2026, 5:51 a.m.