Triple
T26981339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hemligheter på vägen |
E679607
|
entity |
| Predicate | authorAwardedBy |
P25299
|
FINISHED |
| Object | Swedish Academy |
—
|
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: Swedish Academy | Statement: [Hemligheter på vägen, authorAwardedBy, Swedish Academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorAwardedBy Context triple: [Hemligheter på vägen, authorAwardedBy, Swedish Academy]
-
A.
awardedAuthor
chosen
Indicates that an author has received an award or recognition.
-
B.
authorAwardedForBodyOfWork
Indicates that an author received an award recognizing their entire body of work rather than a single specific piece.
-
C.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
D.
authorAsCredited
Indicates the relationship between a work and the person or entity credited as its author, regardless of actual authorship.
-
E.
authorAwardedYear
Indicates the year in which an author received a particular award.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 6:46 a.m.