Triple
T9415232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niort |
E227001
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Sèvre Niortaise |
E524056
|
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: Sèvre Niortaise | Statement: [Niort, locatedOnRiver, Sèvre Niortaise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sèvre Niortaise Context triple: [Niort, locatedOnRiver, Sèvre Niortaise]
-
A.
Sèvre Nantaise
The Sèvre Nantaise is a river in western France that flows through the Vendée and Loire-Atlantique departments before joining the Loire near the city of Nantes.
-
B.
Sèvre Niortaise river
chosen
The Sèvre Niortaise river is a waterway in western France that flows through the Marais Poitevin wetlands before emptying into the Atlantic Ocean.
-
C.
Sarthe River
The Sarthe River is a waterway in western France that flows through the regions of Normandy and Pays de la Loire before joining other rivers to form the Maine.
-
D.
Vendée River
The Vendée River is a waterway in western France that flows through the Vendée department and lends its name to the region.
-
E.
Santoire River
The Santoire River is a watercourse in south-central France that flows through the Cantal region, collecting runoff from the surrounding mountainous terrain.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c7bd648190b17f082883c98239 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107baad74819090a746c06feb28ac |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:48 p.m.