Triple
T9389333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canal du Nivernais |
E225984
|
entity |
| Predicate | endPoint |
P390
|
FINISHED |
| Object | Decize |
E170752
|
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: Decize | Statement: [Canal du Nivernais, endPoint, Decize]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Decize Context triple: [Canal du Nivernais, endPoint, Decize]
-
A.
Decize
chosen
Decize is a historic riverside town in central France situated on an island formed by the Loire and Aron rivers.
-
B.
Debourg
Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
-
C.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
D.
Liévin
Liévin is a commune in the Pas-de-Calais department in northern France, historically linked to coal mining and now part of the Lens–Liévin urban area.
-
E.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50d83c188190925c389dff1341b0 |
completed | April 1, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100f86bac8190a26ab156f24455bb |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:45 p.m.