Triple
T230936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Geneva |
E4408
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Vandoeuvres
Vandoeuvres is a small, affluent residential municipality located near the city of Geneva in western Switzerland.
|
E71477
|
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: Vandoeuvres | Statement: [canton of Geneva, hasMunicipality, Vandoeuvres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vandoeuvres Context triple: [canton of Geneva, hasMunicipality, Vandoeuvres]
-
A.
Lancy
Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
-
B.
Plan-les-Ouates
Plan-les-Ouates is a municipality in western Switzerland known for its watchmaking and high-tech industries within the canton of Geneva.
-
C.
Le Grand-Saconnex
Le Grand-Saconnex is a municipality in the Geneva metropolitan area of Switzerland, known for hosting parts of the Geneva International Airport and several international organizations.
-
D.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
-
E.
Besançon
Besançon is a historic city in eastern France, known for its well-preserved Vauban fortifications, rich cultural heritage, and role as a regional administrative and educational center.
- 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: Vandoeuvres Triple: [canton of Geneva, hasMunicipality, Vandoeuvres]
Generated description
Vandoeuvres is a small, affluent residential municipality located near the city of Geneva in western Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vandoeuvres Target entity description: Vandoeuvres is a small, affluent residential municipality located near the city of Geneva in western Switzerland.
-
A.
Lancy
Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
-
B.
Plan-les-Ouates
Plan-les-Ouates is a municipality in western Switzerland known for its watchmaking and high-tech industries within the canton of Geneva.
-
C.
Le Grand-Saconnex
Le Grand-Saconnex is a municipality in the Geneva metropolitan area of Switzerland, known for hosting parts of the Geneva International Airport and several international organizations.
-
D.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
-
E.
Besançon
Besançon is a historic city in eastern France, known for its well-preserved Vauban fortifications, rich cultural heritage, and role as a regional administrative and educational center.
- 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_69a4fc783c948190bc61a51fc3e3ff1f |
completed | March 2, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69a4fd2938288190b00cb79a10d91150 |
completed | March 2, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4fdb5f42c81908ce753cd4283962c |
completed | March 2, 2026, 3:02 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.