Triple
T1533650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creuse |
E32501
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Creuse River |
E32501
|
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: Creuse River | Statement: [Creuse, namedAfter, Creuse River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creuse River Context triple: [Creuse, namedAfter, Creuse River]
-
A.
Creuse
chosen
Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
-
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.
Saint-Maurice River
The Saint-Maurice River is a major river in Quebec, Canada, known for its historical role in the logging industry and its numerous hydroelectric dams.
-
D.
Sorgue River
The Sorgue River is a picturesque waterway in southeastern France, known for its clear springs, historic waterwheels, and scenic Provençal towns along its banks.
-
E.
Mayenne River
The Mayenne River is a major river in western France that flows through the regions of Normandy and Pays de la Loire before joining other waterways to form the Maine River.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61f8df00819086f34847e2170e12 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b42bb888190a0b16e3a59eb1175 |
completed | March 9, 2026, 8:19 p.m. |
Created at: March 4, 2026, 7:26 p.m.