Triple
T3736829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persian literature |
E79604
|
entity |
| Predicate | hasTranslationImpact |
P28691
|
FINISHED |
| Object | translated widely into European languages |
—
|
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: translated widely into European languages | Statement: [Persian literature, hasTranslationImpact, translated widely into European languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTranslationImpact Context triple: [Persian literature, hasTranslationImpact, translated widely into European languages]
-
A.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
B.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target work.
-
C.
languageAccessImplication
chosen
Indicates that the availability or characteristics of language access (e.g., translation, interpretation, or linguistic support) lead to, enable, or influence a particular outcome, condition, or relationship between entities.
-
D.
laterTranslatedAs
Indicates that something was translated at a later time into a different language, form, or version under a specified title or expression.
-
E.
hasUpstreamImpactOn
Indicates that one entity’s actions, changes, or outputs affect another entity that is positioned earlier in a process, flow, or dependency chain.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3d32b081909a993a78b0869db8 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc04746588190b0dc535638f23546 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.