Triple
T27004074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Maturité |
E680191
|
entity |
| Predicate | isDistinctFrom |
P1612
|
FINISHED |
| Object |
Swiss vocational baccalaureate (Berufsmaturität / maturité professionnelle / maturità professionale)
The Swiss vocational baccalaureate is a nationally recognized upper-secondary qualification that complements vocational education and training and grants access, often via specific pathways, to universities of applied sciences and certain higher education programs in Switzerland.
|
E1749907
|
NE FINISHED |
How this triple was built (2 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: Swiss vocational baccalaureate (Berufsmaturität / maturité professionnelle / maturità professionale) | Statement: [Swiss Maturité, isDistinctFrom, Swiss vocational baccalaureate (Berufsmaturität / maturité professionnelle / maturità professionale)]
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: Swiss vocational baccalaureate (Berufsmaturität / maturité professionnelle / maturità professionale) Triple: [Swiss Maturité, isDistinctFrom, Swiss vocational baccalaureate (Berufsmaturität / maturité professionnelle / maturità professionale)]
Generated description
The Swiss vocational baccalaureate is a nationally recognized upper-secondary qualification that complements vocational education and training and grants access, often via specific pathways, to universities of applied sciences and certain higher education programs in Switzerland.
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_69eeeb52908c8190bd246244686aa455 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621d06a7c81908f80d005079262fd |
completed | May 2, 2026, 4:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1229c052708190901aab4506fdb248 |
completed | May 23, 2026, 10:27 p.m. |
| NEDg | Description generation | batch_6a122a3a3b3c8190ab41feb5652546bb |
completed | May 23, 2026, 10:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a122add10688190aa06ce1d690c1867 |
completed | May 23, 2026, 10:31 p.m. |
Created at: April 27, 2026, 6:59 a.m.