Triple
T6434191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagnes-sur-Mer |
E129851
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Cagne
The Cagne is a small coastal river in southeastern France that flows through the town of Cagnes-sur-Mer into the Mediterranean Sea.
|
E591877
|
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: Cagne | Statement: [Cagnes-sur-Mer, hasRiver, Cagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cagne Context triple: [Cagnes-sur-Mer, hasRiver, Cagne]
-
A.
Gouet
Gouet is an old French white grape variety, better known as Gouais Blanc, historically used in Europe and notable as a parent of many classic wine grapes.
-
B.
Tignère
Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
-
C.
Lauzerte
Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
-
D.
Mouthe
Mouthe is a commune in eastern France’s Jura Mountains, known for its harsh winters and extremely low temperatures.
-
E.
Cigales
Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
- 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: Cagne Triple: [Cagnes-sur-Mer, hasRiver, Cagne]
Generated description
The Cagne is a small coastal river in southeastern France that flows through the town of Cagnes-sur-Mer into the Mediterranean Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cagne Target entity description: The Cagne is a small coastal river in southeastern France that flows through the town of Cagnes-sur-Mer into the Mediterranean Sea.
-
A.
Gouet
Gouet is an old French white grape variety, better known as Gouais Blanc, historically used in Europe and notable as a parent of many classic wine grapes.
-
B.
Tignère
Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
-
C.
Lauzerte
Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
-
D.
Mouthe
Mouthe is a commune in eastern France’s Jura Mountains, known for its harsh winters and extremely low temperatures.
-
E.
Cigales
Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693f73ec8190883470b57f8141aa |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640efd490819084b3b67b3b0680b6 |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c6420e3fe48190aef959cb7ab1e0d3 |
completed | March 27, 2026, 8:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c642a344e48190bccb0f0d122fca4c |
completed | March 27, 2026, 8:41 a.m. |
Created at: March 22, 2026, 4:45 p.m.