Triple
T4604213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vosges department |
E100389
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Moselle River |
E66813
|
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: Moselle River | Statement: [Vosges department, traversedBy, Moselle River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moselle River Context triple: [Vosges department, traversedBy, Moselle River]
-
A.
Moselle River
chosen
The Moselle River is a major European waterway flowing through France, Luxembourg, and Germany, renowned for its scenic valleys and wine-producing regions.
-
B.
Moselle
Moselle is a department in northeastern France, bordering Germany and Luxembourg, known for its strategic location, industrial history, and mixed French-German cultural heritage.
-
C.
Saar River
The Saar River is a major river in northeastern France and western Germany that flows through the industrial region of Saarland before joining the Moselle.
-
D.
Meuse
The Meuse is a major European river flowing through France, Belgium, and the Netherlands, historically important for transport, trade, and the development of surrounding regions.
-
E.
Meuse
Meuse is a department in northeastern France known for its rural landscapes and significant World War I battlefields, including Verdun.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5999f9c88190a43309573df61159 |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be819fa79481908b35c424bff0c939 |
completed | March 21, 2026, 11:31 a.m. |
Created at: March 20, 2026, 1:12 p.m.