Triple
T18992045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Évaux-les-Bains |
E464708
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Saint-Priest
Saint-Priest is a small French commune located in central France within the Creuse department of the Nouvelle-Aquitaine region.
|
E1517384
|
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: Saint-Priest | Statement: [canton of Évaux-les-Bains, contains, Saint-Priest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Priest Context triple: [canton of Évaux-les-Bains, contains, Saint-Priest]
-
A.
Saint-Priest
Saint-Priest is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
-
B.
Firminy
Firminy is a commune in central France known for its notable modernist architecture, including works by Le Corbusier such as the Maison de la Culture.
-
C.
Meyzieu
Meyzieu is a suburban commune in eastern France, located near Lyon and known for its residential character and proximity to major transport links.
-
D.
Bourganeuf
Bourganeuf is a historic commune in central France’s Creuse department, known for its medieval architecture and the 15th-century Zizim Tower.
-
E.
Vaulx-en-Velin
Vaulx-en-Velin is a suburban commune in eastern France located just northeast of Lyon, known for its large housing estates and diverse population.
- 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: Saint-Priest Triple: [canton of Évaux-les-Bains, contains, Saint-Priest]
Generated description
Saint-Priest is a small French commune located in central France within the Creuse department of the Nouvelle-Aquitaine region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saint-Priest Target entity description: Saint-Priest is a small French commune located in central France within the Creuse department of the Nouvelle-Aquitaine region.
-
A.
Saint-Priest
Saint-Priest is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
-
B.
Firminy
Firminy is a commune in central France known for its notable modernist architecture, including works by Le Corbusier such as the Maison de la Culture.
-
C.
Meyzieu
Meyzieu is a suburban commune in eastern France, located near Lyon and known for its residential character and proximity to major transport links.
-
D.
Bourganeuf
Bourganeuf is a historic commune in central France’s Creuse department, known for its medieval architecture and the 15th-century Zizim Tower.
-
E.
Vaulx-en-Velin
Vaulx-en-Velin is a suburban commune in eastern France located just northeast of Lyon, known for its large housing estates and diverse population.
- 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_6a0a809237e8819087db6ea62a246547 |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a82ed42c88190a69d043312b624b9 |
completed | May 18, 2026, 3:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a8342579881908cfc41f5330c8abd |
completed | May 18, 2026, 3:10 a.m. |
Created at: April 10, 2026, 12:01 p.m.