Triple
T15019483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura bernois |
E378045
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tramelan
Tramelan is a municipality in the French-speaking Bernese Jura region of Switzerland, known for its watchmaking industry and scenic Jura landscapes.
|
E1132597
|
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: Tramelan | Statement: [Jura bernois, contains, Tramelan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tramelan Context triple: [Jura bernois, contains, Tramelan]
-
A.
Tramazul
Tramazul is a conceptual artwork by Brazilian artist Regina Silveira, known for its striking use of blue tape to create large-scale, illusionistic spatial distortions.
-
B.
Galanta
Galanta is a town in southern Slovakia known as a regional center with historical ties to the Esterházy noble family.
-
C.
Carugo
Carugo is a small municipality in the Province of Como in Lombardy, northern Italy.
-
D.
Behanzin
Behanzin was the last independent king of the Kingdom of Dahomey, known for his resistance against French colonial conquest in the late 19th century.
-
E.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
- 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: Tramelan Triple: [Jura bernois, contains, Tramelan]
Generated description
Tramelan is a municipality in the French-speaking Bernese Jura region of Switzerland, known for its watchmaking industry and scenic Jura landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tramelan Target entity description: Tramelan is a municipality in the French-speaking Bernese Jura region of Switzerland, known for its watchmaking industry and scenic Jura landscapes.
-
A.
Tramazul
Tramazul is a conceptual artwork by Brazilian artist Regina Silveira, known for its striking use of blue tape to create large-scale, illusionistic spatial distortions.
-
B.
Galanta
Galanta is a town in southern Slovakia known as a regional center with historical ties to the Esterházy noble family.
-
C.
Carugo
Carugo is a small municipality in the Province of Como in Lombardy, northern Italy.
-
D.
Behanzin
Behanzin was the last independent king of the Kingdom of Dahomey, known for his resistance against French colonial conquest in the late 19th century.
-
E.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96af719881909906adfd6cb508aa |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe97af0a0c8190bca3ea103d05fd99 |
completed | May 9, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe98b18ab48190b2a47418904e6643 |
completed | May 9, 2026, 2:15 a.m. |
Created at: April 10, 2026, 2:56 a.m.