Triple
T230928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Geneva |
E4408
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Genthod
Genthod is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
|
E53529
|
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: Genthod | Statement: [canton of Geneva, hasMunicipality, Genthod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genthod Context triple: [canton of Geneva, hasMunicipality, Genthod]
-
A.
Meyrin
Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
-
B.
Bernex
Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
-
C.
Mossenberg-Wöhren
Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
-
D.
Satigny
Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
-
E.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
- 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: Genthod Triple: [canton of Geneva, hasMunicipality, Genthod]
Generated description
Genthod is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Genthod Target entity description: Genthod is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
-
A.
Meyrin
Meyrin is a municipality in the canton of Geneva, Switzerland, best known for hosting major CERN facilities including the Super Proton Synchrotron.
-
B.
Bernex
Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
-
C.
Mossenberg-Wöhren
Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
-
D.
Satigny
Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
-
E.
Chêne-Bougeries
Chêne-Bougeries is a suburban municipality in western Switzerland, located just east of the city of Geneva in the canton of Geneva.
- 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_69a42a101a908190808a4e10871b357d |
completed | March 1, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69a42a588af08190bd59fee1d9c22021 |
completed | March 1, 2026, noon |
| NED2 | Entity disambiguation (via description) | batch_69a42aac27688190958466bba645b265 |
completed | March 1, 2026, 12:01 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.