Triple
T2341703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brienne-le-Château |
E45039
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Aube River (nearby) |
E43606
|
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 (nearby) | Statement: [Brienne-le-Château, hasRiver, Aube River (nearby)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aube River (nearby) Context triple: [Brienne-le-Château, hasRiver, Aube River (nearby)]
-
A.
Aube
chosen
Aube is a department in northeastern France known for its historic towns, Champagne vineyards, and rural landscapes.
-
B.
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.
-
C.
Aude River
The Aude River is a major river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
-
D.
Epte River
The Epte River is a tributary of the Seine in northern France, renowned as a frequent subject in Claude Monet’s Impressionist landscapes.
-
E.
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.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6ad01fc81909e386986e9acc989 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9622cdb08190835222482bd22cf4 |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:52 p.m.