Triple
T2482289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Basin |
E55844
|
entity |
| Predicate | drainedBy |
P165
|
FINISHED |
| Object | Somme River |
E83858
|
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: Somme River | Statement: [Paris Basin, drainedBy, Somme River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somme River Context triple: [Paris Basin, drainedBy, Somme River]
-
A.
Somme River
chosen
The Somme River is a waterway in northern France that became historically significant as the site of one of World War I’s largest and bloodiest battles.
-
B.
Marne
The Marne is a major river in northeastern France that flows through the Île-de-France region before joining the Seine near Paris.
-
C.
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.
-
D.
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.
-
E.
Aisne
Aisne is a department in northern France known for its historic towns, World War I battlefields, and rural landscapes.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd163378481908b75f2f5de0e89c6 |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc020a6f881909b045d7d93bb9880 |
completed | March 10, 2026, 6:54 a.m. |
Created at: March 6, 2026, 9:45 p.m.