Triple
T28489207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Det sovande folket |
E720913
|
entity |
| Predicate | hasAuthorLaterPosition |
P75478
|
FINISHED |
| Object | Prime Minister of Sweden |
—
|
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: Prime Minister of Sweden | Statement: [Det sovande folket, hasAuthorLaterPosition, Prime Minister of Sweden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorLaterPosition Context triple: [Det sovande folket, hasAuthorLaterPosition, Prime Minister of Sweden]
-
A.
hasAuthorLaterRole
chosen
Indicates that an author of a work later took on an additional or subsequent role related to that work or its context.
-
B.
isLaterWorkOfAuthor
Indicates that one work by an author was created or published after another work by the same author.
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
E.
positionOfAuthor
Indicates the spatial or organizational location associated with an author in relation to some reference context.
- 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 28, 2026, 3 a.m.