Triple
T34759808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pädagogische Maturitätsschule Kreuzlingen |
E1002032
|
entity |
| Predicate | typeOfBaccalaureate |
P124790
|
FINISHED |
| Object | Maturität |
—
|
LITERAL 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: Maturität | Statement: [Pädagogische Maturitätsschule Kreuzlingen, typeOfBaccalaureate, Maturität]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBaccalaureate Context triple: [Pädagogische Maturitätsschule Kreuzlingen, typeOfBaccalaureate, Maturität]
-
A.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
B.
typeOfUniversity
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
-
C.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
D.
studType
Indicates a relationship where an entity is classified as a particular type or category of stud (e.g., a specific kind of fastener or structural element).
-
E.
hasHigherEducationType
chosen
Indicates that one entity has a specified type or category of higher education associated with it.
- F. None of above.
Provenance (3 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a016777257081908841c5522dfa76e6 |
completed | May 11, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_6a0164e49bec8190af3c8626be9677a9 |
completed | May 11, 2026, 5:11 a.m. |
Created at: May 3, 2026, 3:59 p.m.