Triple
T38164235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German spelling reform of 1996 |
E953100
|
entity |
| Predicate | implementedInSchoolsFrom |
P95783
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [German spelling reform of 1996, implementedInSchoolsFrom, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implementedInSchoolsFrom Context triple: [German spelling reform of 1996, implementedInSchoolsFrom, 1998]
-
A.
isTaughtInSchools
chosen
Indicates that a subject, concept, or skill is included as part of the formal curriculum in educational institutions.
-
B.
originatedInSchool
Indicates that an entity began, was first formed, or was initially developed within a particular school or educational institution.
-
C.
operatesInSchoolSystem
Indicates that an entity carries out its functions or activities within a particular school system or educational district.
-
D.
hasSchoolSystemLevel
Indicates that an educational institution is associated with a particular level or tier within a school system (e.g., primary, secondary, tertiary).
-
E.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:21 p.m.