Triple
T18386071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Teste-de-Buch |
E446592
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Cazaux
Cazaux is a village in southwestern France, known for its proximity to the Atlantic coast and the large freshwater lake Étang de Cazaux et de Sanguinet.
|
E1320971
|
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: Cazaux | Statement: [La Teste-de-Buch, hasNeighbourhood, Cazaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cazaux Context triple: [La Teste-de-Buch, hasNeighbourhood, Cazaux]
-
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.
Cazeneuve
Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
-
C.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
D.
Gavisse
Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
-
E.
Badaroux
Badaroux is a small commune in the Lozère department of southern France, situated within the administrative area of the arrondissement of Mende.
- 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: Cazaux Triple: [La Teste-de-Buch, hasNeighbourhood, Cazaux]
Generated description
Cazaux is a village in southwestern France, known for its proximity to the Atlantic coast and the large freshwater lake Étang de Cazaux et de Sanguinet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cazaux Target entity description: Cazaux is a village in southwestern France, known for its proximity to the Atlantic coast and the large freshwater lake Étang de Cazaux et de Sanguinet.
-
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.
Cazeneuve
Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of France.
-
C.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
D.
Gavisse
Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
-
E.
Badaroux
Badaroux is a small commune in the Lozère department of southern France, situated within the administrative area of the arrondissement of Mende.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517a00c608190a8f0010c7b53df90 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d784b3008190b84905ed433d846d |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d8512d4c8190b113f7ed1f8a044c |
completed | May 13, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8d863cc819098b46d5d26db05cd |
completed | May 13, 2026, 1:50 a.m. |
Created at: April 10, 2026, 10:46 a.m.