Triple
T230929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Geneva |
E4408
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Jussy
Jussy is a rural municipality in western Switzerland known for its vineyards and countryside within the canton of Geneva.
|
E32119
|
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: Jussy | Statement: [canton of Geneva, hasMunicipality, Jussy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jussy Context triple: [canton of Geneva, hasMunicipality, Jussy]
-
A.
Zella
Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
-
B.
Pauletta
Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
-
C.
Jon Jashni
Jon Jashni is an American film and television producer and media executive known for his work on major studio genre films and for leadership roles at companies like Legendary Entertainment.
-
D.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
E.
Kimberly
Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
- 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: Jussy Triple: [canton of Geneva, hasMunicipality, Jussy]
Generated description
Jussy is a rural municipality in western Switzerland known for its vineyards and countryside within the canton of Geneva.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jussy Target entity description: Jussy is a rural municipality in western Switzerland known for its vineyards and countryside within the canton of Geneva.
-
A.
Zella
Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
-
B.
Pauletta
Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
-
C.
Jon Jashni
Jon Jashni is an American film and television producer and media executive known for his work on major studio genre films and for leadership roles at companies like Legendary Entertainment.
-
D.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
E.
Kimberly
Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25cadae1c8190be0e8dcf33351187 |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3736e4010819089000ed60dbf519c |
completed | Feb. 28, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69a373c9a698819088b3981ffbf85f9b |
completed | Feb. 28, 2026, 11:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3742d7efc81908a46e928326e43fa |
completed | Feb. 28, 2026, 11:03 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.