Triple
T35715828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De ondergang der eerste wareld |
E1032001
|
entity |
| Predicate | belongsToNationalLiterature |
P36448
|
FINISHED |
| Object | Dutch literature |
—
|
NE NERFINISHED |
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: Dutch literature | Statement: [De ondergang der eerste wareld, belongsToNationalLiterature, Dutch literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToNationalLiterature Context triple: [De ondergang der eerste wareld, belongsToNationalLiterature, Dutch literature]
-
A.
hasLiteraryOriginAuthorNationality
Indicates that the nationality of the author from whom a work or concept originates is being specified.
-
B.
literaryOriginCountry
chosen
Indicates the country from which a literary work or literary tradition originally comes.
-
C.
hasLiteraryConnection
Indicates a relationship in which one entity is connected to another through a literary link, such as authorship, reference, influence, adaptation, or shared appearance in written works.
-
D.
hasLiterarySignificance
Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
-
E.
usesLiteraryLens
Indicates that one entity analyzes, interprets, or evaluates another entity (such as a text or work) through a specific literary lens or critical framework.
- 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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
Created at: May 3, 2026, 4:05 p.m.