Triple
T36283524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pramoedya Ananta Toer |
E893005
|
entity |
| Predicate | hasWorkTranslatedTo |
P45244
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Pramoedya Ananta Toer, hasWorkTranslatedTo, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkTranslatedTo Context triple: [Pramoedya Ananta Toer, hasWorkTranslatedTo, English]
-
A.
hasWorkTranslated
Indicates that a work has been rendered into another language or form by a translator.
-
B.
hasWorkTranslatedBy
Indicates that a work has been rendered into another language or form by a specific translator.
-
C.
hasWorkTranslatedInto
chosen
Indicates that a work has been translated into a specified language or target work.
-
D.
workTranslatedFrom
Indicates that a work is a translation derived from an original work in another language.
-
E.
hasTranslated
Indicates that one entity has rendered the content of another entity from one language into a different language.
- 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: May 3, 2026, 4:09 p.m.