Triple
T9558030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veveyse district |
E230591
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Le Flon
Le Flon is a small Swiss municipality located in the canton of Fribourg.
|
E828179
|
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: Le Flon | Statement: [Veveyse district, contains, Le Flon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Flon Context triple: [Veveyse district, contains, Le Flon]
-
A.
Rivière aux Feuilles
Rivière aux Feuilles is a remote river in northern Quebec, Canada, that drains a vast subarctic watershed into Ungava Bay and is known for its rugged, sparsely populated landscape.
-
B.
Rivière des Rochers
Rivière des Rochers is a river in western Canada that drains Lake Athabasca and forms part of the Peace–Athabasca Delta system before joining the Slave River.
-
C.
Rivière George
Rivière George is a major river in northern Quebec, Canada, known for flowing through remote tundra landscapes before emptying into Ungava Bay.
-
D.
Rivière du Lièvre
Rivière du Lièvre is a major river in western Quebec, Canada, known for flowing through forested and recreational areas before joining the Gatineau River.
-
E.
Rivière-Rouge
Rivière-Rouge is a small city in the Laurentides region of Quebec, Canada, known for its surrounding forests, lakes, and outdoor recreational activities.
- 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: Le Flon Triple: [Veveyse district, contains, Le Flon]
Generated description
Le Flon is a small Swiss municipality located in the canton of Fribourg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Le Flon Target entity description: Le Flon is a small Swiss municipality located in the canton of Fribourg.
-
A.
Rivière aux Feuilles
Rivière aux Feuilles is a remote river in northern Quebec, Canada, that drains a vast subarctic watershed into Ungava Bay and is known for its rugged, sparsely populated landscape.
-
B.
Rivière des Rochers
Rivière des Rochers is a river in western Canada that drains Lake Athabasca and forms part of the Peace–Athabasca Delta system before joining the Slave River.
-
C.
Rivière George
Rivière George is a major river in northern Quebec, Canada, known for flowing through remote tundra landscapes before emptying into Ungava Bay.
-
D.
Rivière du Lièvre
Rivière du Lièvre is a major river in western Quebec, Canada, known for flowing through forested and recreational areas before joining the Gatineau River.
-
E.
Rivière-Rouge
Rivière-Rouge is a small city in the Laurentides region of Quebec, Canada, known for its surrounding forests, lakes, and outdoor recreational activities.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99487b4c819086e02e29e37b593f |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eab0860c819091b0169f82eac47f |
completed | April 5, 2026, 4:53 a.m. |
| NEDg | Description generation | batch_69d1edda5b748190a0d7a1449cad2f68 |
completed | April 5, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ee6545208190baedf170f129ae84 |
completed | April 5, 2026, 5:08 a.m. |
Created at: March 30, 2026, 8:03 p.m.