Triple
T15108562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayenne (department) |
E360849
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Villaines-la-Juhel
Villaines-la-Juhel is a small commune in northwestern France known for its rural character and location within the historical province of Maine.
|
E1138570
|
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: Villaines-la-Juhel | Statement: [Mayenne (department), contains, Villaines-la-Juhel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villaines-la-Juhel Context triple: [Mayenne (department), contains, Villaines-la-Juhel]
-
A.
Juvigny
Juvigny is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
B.
Saint-Jean-d'Heurs
Saint-Jean-d'Heurs is a small commune in the Puy-de-Dôme department in central France.
-
C.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
-
D.
Héricourt
Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
-
E.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
- 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: Villaines-la-Juhel Triple: [Mayenne (department), contains, Villaines-la-Juhel]
Generated description
Villaines-la-Juhel is a small commune in northwestern France known for its rural character and location within the historical province of Maine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villaines-la-Juhel Target entity description: Villaines-la-Juhel is a small commune in northwestern France known for its rural character and location within the historical province of Maine.
-
A.
Juvigny
Juvigny is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
B.
Saint-Jean-d'Heurs
Saint-Jean-d'Heurs is a small commune in the Puy-de-Dôme department in central France.
-
C.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
-
D.
Héricourt
Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
-
E.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058af8988190977d998f85893836 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e912ac8190bd0e0c9cdbbd0194 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feba1d256c8190ba13379d0cb8135c |
completed | May 9, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feba93c4cc819083c683210d1f03f8 |
completed | May 9, 2026, 4:39 a.m. |
Created at: April 10, 2026, 3:05 a.m.