Triple
T18417227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margret Erlendsdatter |
E441923
|
entity |
| Predicate | publicationLanguageOfSource |
P73818
|
FINISHED |
| Object | Norwegian |
—
|
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: Norwegian | Statement: [Margret Erlendsdatter, publicationLanguageOfSource, Norwegian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationLanguageOfSource Context triple: [Margret Erlendsdatter, publicationLanguageOfSource, Norwegian]
-
A.
publicationLanguageOfSourceWork
chosen
Indicates the language in which the original source work was published.
-
B.
languageOfSources
Indicates that the specified language is the language in which the referenced sources or source materials are expressed.
-
C.
firstEuropeanPublicationLanguage
Indicates the language in which an entity was first published in Europe.
-
D.
citationLanguage
Indicates the language in which a cited work or reference is written or presented.
-
E.
publisherLanguageEdition
Indicates the specific language edition in which a publisher issues or has issued a work.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a291f148190b289b5b617077797 |
completed | April 19, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:47 a.m.