Triple
T5742352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapunzel |
E126644
|
entity |
| Predicate | originatedInWorkLanguage |
P21977
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Rapunzel, originatedInWorkLanguage, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatedInWorkLanguage Context triple: [Rapunzel, originatedInWorkLanguage, German]
-
A.
hasLanguageOfOrigin
Indicates that one entity has its origin or source in the language specified by another entity.
-
B.
originalLanguageContext
chosen
Indicates the language in which something was first created or expressed, providing the original linguistic context for its content or meaning.
-
C.
createdInLanguage
Indicates that something was produced, authored, or developed using a particular language (natural or programming).
-
D.
workTranslatedFrom
Indicates that a work is a translation derived from an original work in another language.
-
E.
languageOfParentWork
Indicates that the specified language is the language in which the parent (original or containing) work is expressed.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.