Triple
T12630113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cher (department) |
E301616
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Cher River |
E166504
|
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: Cher River | Statement: [Cher (department), hasRiver, Cher River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cher River Context triple: [Cher (department), hasRiver, Cher River]
-
A.
Cher River
chosen
The Cher River is a major tributary of the Loire in central France, known for flowing past historic châteaux such as Chenonceau and through the Touraine region.
-
B.
French River
The French River is a historic waterway in Ontario, Canada, that connects Lake Nipissing to Georgian Bay and is renowned for its rugged Canadian Shield scenery and role in Indigenous travel and the fur trade.
-
C.
French River
The French River is a waterway in central Massachusetts that flows through communities such as Oxford before joining the Quinebaug River.
-
D.
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.
-
E.
La Rive
La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610ce9e48190a496824002c0d2be |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c71482c819083d65c1a39e90e41 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:15 p.m.