Triple
T18123053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Aurillac |
E433791
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Naucelles
Naucelles is a small commune in the Cantal department of south-central France, situated near the town of Aurillac in the Auvergne region.
|
E1309324
|
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: Naucelles | Statement: [arrondissement of Aurillac, contains, Naucelles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naucelles Context triple: [arrondissement of Aurillac, contains, Naucelles]
-
A.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
-
B.
Blinoise
Blinoise is the term used to refer to inhabitants or natives of the place called Blain.
-
C.
Cugnaux
Cugnaux is a suburban commune in southwestern France, located near the city of Toulouse in the Haute-Garonne department.
-
D.
Semailles
Semailles is a section of Alexandre Grothendieck’s autobiographical and philosophical manuscript "Récoltes et Semailles," reflecting his personal reflections on mathematics, life, and the mathematical community.
-
E.
Loiseau
Loiseau is a French surname most notably borne by Gustave Loiseau, a post-Impressionist painter known for his landscapes and depictions of rural France.
- 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: Naucelles Triple: [arrondissement of Aurillac, contains, Naucelles]
Generated description
Naucelles is a small commune in the Cantal department of south-central France, situated near the town of Aurillac in the Auvergne region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naucelles Target entity description: Naucelles is a small commune in the Cantal department of south-central France, situated near the town of Aurillac in the Auvergne region.
-
A.
Dagneux
Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
-
B.
Blinoise
Blinoise is the term used to refer to inhabitants or natives of the place called Blain.
-
C.
Cugnaux
Cugnaux is a suburban commune in southwestern France, located near the city of Toulouse in the Haute-Garonne department.
-
D.
Semailles
Semailles is a section of Alexandre Grothendieck’s autobiographical and philosophical manuscript "Récoltes et Semailles," reflecting his personal reflections on mathematics, life, and the mathematical community.
-
E.
Loiseau
Loiseau is a French surname most notably borne by Gustave Loiseau, a post-Impressionist painter known for his landscapes and depictions of rural France.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddeb2d7881909326cb9d2f5e2fb5 |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fb0707881908ac8493701abb034 |
completed | May 12, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_6a0390db2e748190a5f2930d26fe76e7 |
completed | May 12, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0391978d7881909fac2b8dd3526bbe |
completed | May 12, 2026, 8:46 p.m. |
Created at: April 10, 2026, 10:28 a.m.