Triple
T38164247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German spelling reform of 1996 |
E953100
|
entity |
| Predicate | languageRegulatorInvolved |
P75228
|
FINISHED |
| Object | Rat für deutsche Rechtschreibung |
E280000
|
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: Rat für deutsche Rechtschreibung | Statement: [German spelling reform of 1996, languageRegulatorInvolved, Rat für deutsche Rechtschreibung]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageRegulatorInvolved Context triple: [German spelling reform of 1996, languageRegulatorInvolved, Rat für deutsche Rechtschreibung]
-
A.
associatedLanguageRegulator
chosen
Indicates that one entity serves as the official or recognized regulatory body responsible for overseeing, standardizing, or managing the language associated with another entity.
-
B.
hasLanguageRegulatorLocation
Indicates the location where the official regulatory body or authority for a language is based or operates.
-
C.
languageConsultant
Indicates that one entity serves as a language consultant, providing expert advice or guidance on language-related matters to another entity.
-
D.
languageAdvocated
Indicates that an entity actively supports, promotes, or argues in favor of the use or adoption of a particular language.
-
E.
languageUse
Indicates the language or languages an entity uses for communication, expression, or interaction.
- F. None of above.
Provenance (4 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_6a01f4d954e08190aff3756955212d67 |
completed | May 11, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41713d4df48190a17d71a80402271b |
completed | June 28, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a01edadb9248190be592287530740a5 |
completed | May 11, 2026, 2:54 p.m. |
Created at: May 3, 2026, 4:21 p.m.