Triple
T9558070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broye district (Fribourg) |
E230592
|
entity |
| Predicate | containsPart |
P35
|
FINISHED |
| Object |
Vallon
Vallon is a small municipality in the canton of Fribourg in western Switzerland.
|
E812484
|
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: Vallon | Statement: [Broye district (Fribourg), containsPart, Vallon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vallon Context triple: [Broye district (Fribourg), containsPart, Vallon]
-
A.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
B.
Vieussan
Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
-
C.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
D.
Vavin
Vavin is a Paris Métro station in the 6th arrondissement, serving the Montparnasse and Jardin du Luxembourg area.
-
E.
Vallette
Vallette is a district in Turin, Italy, known for hosting the modern Allianz Stadium, home of the Juventus football club.
- 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: Vallon Triple: [Broye district (Fribourg), containsPart, Vallon]
Generated description
Vallon is a small municipality in the canton of Fribourg in western Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vallon Target entity description: Vallon is a small municipality in the canton of Fribourg in western Switzerland.
-
A.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
B.
Vieussan
Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
-
C.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
D.
Vavin
Vavin is a Paris Métro station in the 6th arrondissement, serving the Montparnasse and Jardin du Luxembourg area.
-
E.
Vallette
Vallette is a district in Turin, Italy, known for hosting the modern Allianz Stadium, home of the Juventus football club.
- 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_69d18214e1cc8190a66582a1af26cac3 |
completed | April 4, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d18601f5188190a6412ee2ffb1c888 |
completed | April 4, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18653a5008190879557508f727f66 |
completed | April 4, 2026, 9:44 p.m. |
Created at: March 30, 2026, 8:03 p.m.