Triple
T34446227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artikel 45a Grundgesetz |
E884235
|
entity |
| Predicate | Sprachfassung |
P64953
|
FINISHED |
| Object | deutsch |
—
|
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: deutsch | Statement: [Artikel 45a Grundgesetz, Sprachfassung, deutsch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Sprachfassung Context triple: [Artikel 45a Grundgesetz, Sprachfassung, deutsch]
-
A.
isTranscribedIn
Indicates that the genetic information of an entity (such as a gene or DNA region) is copied into an RNA molecule within a specified context (such as a cell type, tissue, or condition).
-
B.
languageSpokenOnScreen
Indicates that a particular language is used in spoken dialogue or audible communication within an on-screen work (such as a film, show, or video).
-
C.
isSpokenOn
chosen
Indicates that a particular language, phrase, or utterance is used or occurs during a specified time, event, or occasion.
-
D.
languageModality
Indicates the mode or form in which a language is expressed or perceived (e.g., spoken, signed, written, or tactile).
-
E.
isTranscriptionOf
Indicates that one entity is a written, typed, or otherwise recorded representation of the content of another entity, preserving its original form as closely as possible.
- 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7194dd0ac819098be37029f4f92d9 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2 a.m.