Triple
T18501096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern public transport network |
E452065
|
entity |
| Predicate | ticketingBrand |
P61256
|
FINISHED |
| Object |
Libero
Libero is a regional public transport fare network and ticketing system serving Bern and surrounding areas in Switzerland.
|
E1327593
|
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: Libero | Statement: [Bern public transport network, ticketingBrand, Libero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Libero Context triple: [Bern public transport network, ticketingBrand, Libero]
-
A.
Atleti
Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
-
B.
Freitas
Freitas is a Portuguese-origin surname borne by various notable individuals, including athletes and public figures.
-
C.
Vialli
Vialli is an Italian surname most famously associated with Gianluca Vialli, the celebrated footballer and manager.
-
D.
Vallardi
Vallardi is an Italian publishing imprint known for educational and reference books, particularly dictionaries, language-learning materials, and practical guides.
-
E.
Acerbi
Acerbi is an Italian surname borne by various notable figures in fields such as sports, music, and academia.
- 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: Libero Triple: [Bern public transport network, ticketingBrand, Libero]
Generated description
Libero is a regional public transport fare network and ticketing system serving Bern and surrounding areas in Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Libero Target entity description: Libero is a regional public transport fare network and ticketing system serving Bern and surrounding areas in Switzerland.
-
A.
Atleti
Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
-
B.
Freitas
Freitas is a Portuguese-origin surname borne by various notable individuals, including athletes and public figures.
-
C.
Vialli
Vialli is an Italian surname most famously associated with Gianluca Vialli, the celebrated footballer and manager.
-
D.
Vallardi
Vallardi is an Italian publishing imprint known for educational and reference books, particularly dictionaries, language-learning materials, and practical guides.
-
E.
Acerbi
Acerbi is an Italian surname borne by various notable figures in fields such as sports, music, and academia.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c43de48190b49b87c1bb591016 |
completed | April 19, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a047141e8208190b240a11ae3b02ec0 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a04738415508190945eec50944d96e9 |
completed | May 13, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04746a380c819097df59bdbce0f6f6 |
completed | May 13, 2026, 12:54 p.m. |
Created at: April 10, 2026, 11:36 a.m.