Triple
T25588284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hjalmar Gullberg |
E641446
|
entity |
| Predicate | translated into |
P109823
|
FINISHED |
| Object | Swedish |
—
|
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: Swedish | Statement: [Hjalmar Gullberg, translated into, Swedish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translated into Context triple: [Hjalmar Gullberg, translated into, Swedish]
-
A.
translatedIn
chosen
Indicates that a work, text, or content has been rendered from its original language into another specified language or linguistic form.
-
B.
coTranslatedWith
Indicates that two or more entities were translated together as part of the same translation effort, project, or work.
-
C.
laterTranslatedAs
Indicates that something was translated at a later time into a different language, form, or version under a specified title or expression.
-
D.
translatedWorkOf
Indicates that one work is a translation of another original work.
-
E.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 21, 2026, 4:18 p.m.