Triple
T13343497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Administrative District of Biel/Bienne |
E317885
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Jens
Jens is a small municipality in the canton of Bern in Switzerland, located within the bilingual region around the city of Biel/Bienne.
|
E1035582
|
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: Jens | Statement: [Administrative District of Biel/Bienne, contains, Jens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jens Context triple: [Administrative District of Biel/Bienne, contains, Jens]
-
A.
Jens
Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
-
B.
Jørgen
Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
-
C.
Jesper
Jesper is a masculine given name commonly used in Scandinavian countries and parts of Europe.
-
D.
Jon Jensen
Jon Jensen is the central protagonist of the film "The Salvation," around whom the story’s dramatic events and conflicts revolve.
-
E.
Max Jensen
Max Jensen was a young gas station attendant in Utah who became one of the two murder victims of convicted killer Gary Gilmore in 1976.
- 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: Jens Triple: [Administrative District of Biel/Bienne, contains, Jens]
Generated description
Jens is a small municipality in the canton of Bern in Switzerland, located within the bilingual region around the city of Biel/Bienne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jens Target entity description: Jens is a small municipality in the canton of Bern in Switzerland, located within the bilingual region around the city of Biel/Bienne.
-
A.
Jens
Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
-
B.
Jørgen
Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
-
C.
Jesper
Jesper is a masculine given name commonly used in Scandinavian countries and parts of Europe.
-
D.
Jon Jensen
Jon Jensen is the central protagonist of the film "The Salvation," around whom the story’s dramatic events and conflicts revolve.
-
E.
Max Jensen
Max Jensen was a young gas station attendant in Utah who became one of the two murder victims of convicted killer Gary Gilmore in 1976.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8839b48190b164414b418e756c |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f417e4081908ab2025a313bfad1 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204ac36c8190a04e921442489e9c |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7221887208190ac98945a023bc496 |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 9, 2026, 9:31 p.m.