Triple
T18992049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Évaux-les-Bains |
E464708
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Cressat
Cressat is a small rural commune in central France’s Creuse department, characterized by its agricultural landscape and traditional village setting.
|
E1375920
|
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: Cressat | Statement: [canton of Évaux-les-Bains, contains, Cressat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cressat Context triple: [canton of Évaux-les-Bains, contains, Cressat]
-
A.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
B.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
-
C.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
D.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
E.
Bertholle
Bertholle is a French surname most notably associated with Louisette Bertholle, a prominent mid-20th-century French chef and cookbook author.
- 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: Cressat Triple: [canton of Évaux-les-Bains, contains, Cressat]
Generated description
Cressat is a small rural commune in central France’s Creuse department, characterized by its agricultural landscape and traditional village setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cressat Target entity description: Cressat is a small rural commune in central France’s Creuse department, characterized by its agricultural landscape and traditional village setting.
-
A.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
B.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
-
C.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
D.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
E.
Bertholle
Bertholle is a French surname most notably associated with Louisette Bertholle, a prominent mid-20th-century French chef and cookbook author.
- 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_6a0733b6f7dc8190844310ea388ffc09 |
completed | May 15, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_6a07371d1030819090e79549769dc919 |
completed | May 15, 2026, 3:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07377a8ef881909b45139d32a3d973 |
completed | May 15, 2026, 3:10 p.m. |
Created at: April 10, 2026, 12:01 p.m.