Triple
T2006962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aube |
E43606
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | Aube River |
E297584
|
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: Aube River | Statement: [Aube, hasFeature, Aube River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aube River Context triple: [Aube, hasFeature, Aube River]
-
A.
Aube River
chosen
The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
-
B.
Allier River
The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
-
C.
Nièvre
Nièvre is a rural department in central France’s Bourgogne-Franche-Comté region, known for its rolling countryside, the Loire River, and its capital city Nevers.
-
D.
Semois River
The Semois River is a picturesque waterway in southern Belgium and northern France, known for winding through the rugged, forested landscapes of the Ardennes.
-
E.
Loir
The Loir is a river in central France that flows through the regions of Pays de la Loire and Centre-Val de Loire before joining the Sarthe.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8999e108190a07daa01452a5dab |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce742d288190bfdcffb81c29a173 |
completed | March 10, 2026, 7:55 a.m. |
Created at: March 4, 2026, 7:37 p.m.