Triple
T17600307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Saint-Affrique |
E428680
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Calmels-et-le-Viala
Calmels-et-le-Viala is a small rural commune in the Aveyron department of southern France, known for its agricultural landscape and traditional village character.
|
E1278262
|
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: Calmels-et-le-Viala | Statement: [canton of Saint-Affrique, contains, Calmels-et-le-Viala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calmels-et-le-Viala Context triple: [canton of Saint-Affrique, contains, Calmels-et-le-Viala]
-
A.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
-
B.
Villaz-Saint-Pierre
Villaz-Saint-Pierre is a small municipality in the canton of Fribourg in western Switzerland.
-
C.
Valldoreix
Valldoreix is a residential district within the municipality of Sant Cugat del Vallès in Catalonia, Spain, known for its suburban character and green surroundings.
-
D.
Villaraboud
Villaraboud is a small municipality located in the Glâne District of the canton of Fribourg in western Switzerland.
-
E.
Collobrières
Collobrières is a small Provençal village in southeastern France, known for its chestnut production and picturesque setting in the Massif des Maures.
- 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: Calmels-et-le-Viala Triple: [canton of Saint-Affrique, contains, Calmels-et-le-Viala]
Generated description
Calmels-et-le-Viala is a small rural commune in the Aveyron department of southern France, known for its agricultural landscape and traditional village character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calmels-et-le-Viala Target entity description: Calmels-et-le-Viala is a small rural commune in the Aveyron department of southern France, known for its agricultural landscape and traditional village character.
-
A.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
-
B.
Villaz-Saint-Pierre
Villaz-Saint-Pierre is a small municipality in the canton of Fribourg in western Switzerland.
-
C.
Valldoreix
Valldoreix is a residential district within the municipality of Sant Cugat del Vallès in Catalonia, Spain, known for its suburban character and green surroundings.
-
D.
Villaraboud
Villaraboud is a small municipality located in the Glâne District of the canton of Fribourg in western Switzerland.
-
E.
Collobrières
Collobrières is a small Provençal village in southeastern France, known for its chestnut production and picturesque setting in the Massif des Maures.
- 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.