Triple
T19007078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Ussel |
E465114
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Courteix
Courteix is a small French commune located in the Corrèze department in central France.
|
E1366392
|
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: Courteix | Statement: [canton of Ussel, containsAdministrativeTerritorialEntity, Courteix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courteix Context triple: [canton of Ussel, containsAdministrativeTerritorialEntity, Courteix]
-
A.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
-
B.
Courtedoux
Courtedoux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
-
C.
Couvin
Couvin is a municipality in southern Belgium known for its extensive forests, caves, and rural landscapes within the Walloon region.
-
D.
Courcelles
Courcelles is a district in Brussels, Belgium, known for being served by the city's metro system.
-
E.
Courcelles
Courcelles is a municipality in the Walloon region of Belgium, known historically as part of the industrial coal-mining area around Charleroi.
- 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: Courteix Triple: [canton of Ussel, containsAdministrativeTerritorialEntity, Courteix]
Generated description
Courteix is a small French commune located in the Corrèze department in central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Courteix Target entity description: Courteix is a small French commune located in the Corrèze department in central France.
-
A.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
-
B.
Courtedoux
Courtedoux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
-
C.
Couvin
Couvin is a municipality in southern Belgium known for its extensive forests, caves, and rural landscapes within the Walloon region.
-
D.
Courcelles
Courcelles is a district in Brussels, Belgium, known for being served by the city's metro system.
-
E.
Courcelles
Courcelles is a municipality in the Walloon region of Belgium, known historically as part of the industrial coal-mining area around Charleroi.
- 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_6a0705c038388190b7e3558ee4e401f5 |
completed | May 15, 2026, 11:38 a.m. |
| NEDg | Description generation | batch_6a0706bd92b48190848fcf5be679d207 |
completed | May 15, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070763ca5c81908afa73b30645223a |
completed | May 15, 2026, 11:45 a.m. |
Created at: April 10, 2026, 12:01 p.m.