Triple
T230946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Geneva |
E4408
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Laconnex
Laconnex is a small rural municipality in western Switzerland, located in the canton of Geneva near the French border.
|
E55196
|
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: Laconnex | Statement: [canton of Geneva, hasMunicipality, Laconnex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laconnex Context triple: [canton of Geneva, hasMunicipality, Laconnex]
-
A.
Prévessin-Moëns
Prévessin-Moëns is a French commune in the Ain department of eastern France, located near Geneva and known for its proximity to the CERN research center.
-
B.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
-
C.
Chêne-Bourg
Chêne-Bourg is a municipality in western Switzerland located in the canton of Geneva, forming part of the Geneva metropolitan area near the French border.
-
D.
Veyrier
Veyrier is a municipality in southwestern Switzerland located just outside the city of Geneva, near the French border.
-
E.
Chambéry
Chambéry is a historic city in southeastern France that served as the political and cultural center of the former Duchy of Savoy.
- 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: Laconnex Triple: [canton of Geneva, hasMunicipality, Laconnex]
Generated description
Laconnex is a small rural municipality in western Switzerland, located in the canton of Geneva near the French border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laconnex Target entity description: Laconnex is a small rural municipality in western Switzerland, located in the canton of Geneva near the French border.
-
A.
Prévessin-Moëns
Prévessin-Moëns is a French commune in the Ain department of eastern France, located near Geneva and known for its proximity to the CERN research center.
-
B.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
-
C.
Chêne-Bourg
Chêne-Bourg is a municipality in western Switzerland located in the canton of Geneva, forming part of the Geneva metropolitan area near the French border.
-
D.
Veyrier
Veyrier is a municipality in southwestern Switzerland located just outside the city of Geneva, near the French border.
-
E.
Chambéry
Chambéry is a historic city in southeastern France that served as the political and cultural center of the former Duchy of Savoy.
- 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_69a4366436008190b883eb9f0bfdb329 |
completed | March 1, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_69a436e29de08190bd34018c291e915f |
completed | March 1, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4375d01308190aa6e5899bc28495e |
completed | March 1, 2026, 12:55 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.