Triple
T14758474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monthermé |
E346792
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Semois |
E66774
|
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: Semois | Statement: [Monthermé, river, Semois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semois Context triple: [Monthermé, river, Semois]
-
A.
Semois River
chosen
The Semois River is a picturesque waterway in southern Belgium and northern France, known for winding through the rugged, forested landscapes of the Ardennes.
-
B.
Aube River
The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
-
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.
Saône River
The Saône River is a major waterway in eastern France that flows through cities like Lyon and Dijon before joining the Rhône River.
-
E.
Sambre
The Sambre is a major river in northern France and southern Belgium that flows through the Walloon region before joining the Meuse at Namur.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef885b07c8190af5e33303af9fbea |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 1:30 a.m.