Triple
T9710249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sèvre Nantaise |
E235003
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Tiffauges
Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
|
E822383
|
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: Tiffauges | Statement: [Sèvre Nantaise, flowsThrough, Tiffauges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiffauges Context triple: [Sèvre Nantaise, flowsThrough, Tiffauges]
-
A.
Orgeval
Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
-
B.
Chevenez
Chevenez is a village in the Ajoie region of the canton of Jura in northwestern Switzerland.
-
C.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
D.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
E.
Audun-le-Tiche
Audun-le-Tiche is a commune in northeastern France’s Moselle department, known for its industrial past and location near the borders with Luxembourg and 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: Tiffauges Triple: [Sèvre Nantaise, flowsThrough, Tiffauges]
Generated description
Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiffauges Target entity description: Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
-
A.
Orgeval
Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
-
B.
Chevenez
Chevenez is a village in the Ajoie region of the canton of Jura in northwestern Switzerland.
-
C.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
D.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
E.
Audun-le-Tiche
Audun-le-Tiche is a commune in northeastern France’s Moselle department, known for its industrial past and location near the borders with Luxembourg and 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da8eaa08190b3ba148d85c5cec5 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc3dd210819094403fd21f3c388d |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1cd137b30819089356b9fbc265d17 |
completed | April 5, 2026, 2:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1cd8fcf488190bc72a99e81fb618b |
completed | April 5, 2026, 2:48 a.m. |
Created at: March 30, 2026, 8:19 p.m.