Triple
T6839751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ille-et-Vilaine |
E157540
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object |
Rance
Rance is a river in northwestern France known for flowing through Brittany and hosting the Rance Tidal Power Station near Saint-Malo.
|
E624829
|
NE FINISHED |
How this triple was built (4 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: Rance | Statement: [Ille-et-Vilaine, containsRiver, Rance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rance Context triple: [Ille-et-Vilaine, containsRiver, Rance]
-
A.
Rance
Rance is a masculine given name most notably borne by American actor Rance Howard.
-
B.
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.
-
C.
Chiers River
The Chiers River is a tributary of the Meuse that flows through Luxembourg, Belgium, and northeastern France, passing industrial towns such as Longwy along its course.
-
D.
Riber
Riber is the namesake locality in Derbyshire, England, best known for giving its name to the historic hilltop Riber Castle overlooking Matlock.
-
E.
La Rivière
La Rivière is a sector of the town of Gold, recognized as one of its notable local areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rance Triple: [Ille-et-Vilaine, containsRiver, Rance]
Generated description
Rance is a river in northwestern France known for flowing through Brittany and hosting the Rance Tidal Power Station near Saint-Malo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rance Target entity description: Rance is a river in northwestern France known for flowing through Brittany and hosting the Rance Tidal Power Station near Saint-Malo.
-
A.
Rance
Rance is a masculine given name most notably borne by American actor Rance Howard.
-
B.
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.
-
C.
Chiers River
The Chiers River is a tributary of the Meuse that flows through Luxembourg, Belgium, and northeastern France, passing industrial towns such as Longwy along its course.
-
D.
Riber
Riber is the namesake locality in Derbyshire, England, best known for giving its name to the historic hilltop Riber Castle overlooking Matlock.
-
E.
La Rivière
La Rivière is a sector of the town of Gold, recognized as one of its notable local areas.
- F. None of above. chosen
Provenance (5 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b2ee248190991c3e827be75bb7 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74271b9dc8190abbe3b1f9819c38f |
completed | March 28, 2026, 2:52 a.m. |
| NEDg | Description generation | batch_69c7435af2b481908e06b3ec72dae7da |
completed | March 28, 2026, 2:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7443919ec819089040e50462864d1 |
completed | March 28, 2026, 3 a.m. |
Created at: March 27, 2026, 2:19 p.m.