Triple
T9710247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sèvre Nantaise |
E235003
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Clisson |
E393204
|
NE FINISHED |
How this triple was built (2 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: Clisson | Statement: [Sèvre Nantaise, flowsThrough, Clisson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clisson Context triple: [Sèvre Nantaise, flowsThrough, Clisson]
-
A.
Clisson
chosen
Clisson is a picturesque historic town in western France known for its Italianate architecture, medieval castle, and annual Hellfest heavy metal music festival.
-
B.
Langeac
Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
-
C.
Rebecq
Rebecq is a municipality in the Belgian province of Walloon Brabant, known for its rural character and historic watermills.
-
D.
Thirroul
Thirroul is a coastal suburb and beachside town in the northern Illawarra region of New South Wales, Australia, known for its scenic shoreline and proximity to the Illawarra Escarpment.
-
E.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d19f8876748190b0b5efb12031f532 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:19 p.m.