Triple
T15108557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayenne (department) |
E360849
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Évron
Évron is a small commune in northwestern France known for its historic abbey and rural setting within the Mayenne department.
|
E1138565
|
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: Évron | Statement: [Mayenne (department), contains, Évron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Évron Context triple: [Mayenne (department), contains, Évron]
-
A.
Secane
Secane is an unincorporated community and residential neighborhood in Delaware County, Pennsylvania, known for its commuter rail station and suburban character.
-
B.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
-
C.
Séverac
Séverac is a commune in western France located within the Loire-Atlantique department.
-
D.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
E.
Targnon
Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
- 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: Évron Triple: [Mayenne (department), contains, Évron]
Generated description
Évron is a small commune in northwestern France known for its historic abbey and rural setting within the Mayenne department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Évron Target entity description: Évron is a small commune in northwestern France known for its historic abbey and rural setting within the Mayenne department.
-
A.
Secane
Secane is an unincorporated community and residential neighborhood in Delaware County, Pennsylvania, known for its commuter rail station and suburban character.
-
B.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
-
C.
Séverac
Séverac is a commune in western France located within the Loire-Atlantique department.
-
D.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
E.
Targnon
Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
- 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.