Triple
T19007075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Ussel |
E465114
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Lamazière-Haute
Lamazière-Haute is a small rural commune in the Corrèze department of central France.
|
E1353903
|
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: Lamazière-Haute | Statement: [canton of Ussel, containsAdministrativeTerritorialEntity, Lamazière-Haute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamazière-Haute Context triple: [canton of Ussel, containsAdministrativeTerritorialEntity, Lamazière-Haute]
-
A.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
-
B.
Montbrisonnaise
Montbrisonnaise is the French term for a female inhabitant or native of the town of Montbrison in central France.
-
C.
Largentière
Largentière is a historic town in southern France known for its medieval architecture and former silver mining industry.
-
D.
Laumière
Laumière is a Paris Métro station on the city’s northeastern side, located in the 19th arrondissement near the Canal de l’Ourcq.
-
E.
Petit-Val
Petit-Val is a small municipality located in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
- 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: Lamazière-Haute Triple: [canton of Ussel, containsAdministrativeTerritorialEntity, Lamazière-Haute]
Generated description
Lamazière-Haute is a small rural commune in the Corrèze department of central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lamazière-Haute Target entity description: Lamazière-Haute is a small rural commune in the Corrèze department of central France.
-
A.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
-
B.
Montbrisonnaise
Montbrisonnaise is the French term for a female inhabitant or native of the town of Montbrison in central France.
-
C.
Largentière
Largentière is a historic town in southern France known for its medieval architecture and former silver mining industry.
-
D.
Laumière
Laumière is a Paris Métro station on the city’s northeastern side, located in the 19th arrondissement near the Canal de l’Ourcq.
-
E.
Petit-Val
Petit-Val is a small municipality located in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
- 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_69e5d6a561848190bd957f248471c191 |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b463d4a08190b15403ea0ad23682 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b5dfac0c8190b67921280d5ab1fe |
completed | May 14, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b68aba3081908ca21d732e45f454 |
completed | May 14, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:01 p.m.