Triple
T2445423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernex |
E53379
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Cugny
Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
|
E332305
|
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: Cugny | Statement: [Bernex, hasLocality, Cugny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cugny Context triple: [Bernex, hasLocality, Cugny]
-
A.
Gueugnon
Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
-
B.
Pougny
Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
-
C.
Plombières
Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
-
D.
Montbéliard
Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
-
E.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
- 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: Cugny Triple: [Bernex, hasLocality, Cugny]
Generated description
Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cugny Target entity description: Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
A.
Gueugnon
Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
-
B.
Pougny
Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
-
C.
Plombières
Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
-
D.
Montbéliard
Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
-
E.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abca23ebe8819099a579a07c1bb708 |
completed | March 7, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2248bcb68819095e52fea4cd5692c |
completed | March 12, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_69b228768ee4819094da89f907e48deb |
completed | March 12, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b22903b428819083af822577861a6b |
completed | March 12, 2026, 2:46 a.m. |
Created at: March 6, 2026, 9:43 p.m.