Triple
T2476969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terézia Mora |
E55110
|
entity |
| Predicate | workTranslatedFrom |
P39715
|
FINISHED |
| Object | Hungarian |
—
|
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: Hungarian | Statement: [Terézia Mora, workTranslatedFrom, Hungarian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTranslatedFrom Context triple: [Terézia Mora, workTranslatedFrom, Hungarian]
-
A.
translator
Indicates that one entity serves to convert or render content from one language or form into another for a second entity.
-
B.
translationTargetLanguage
Indicates the language into which content is being or has been translated.
-
C.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
D.
scriptureTranslatedBy
Indicates that a particular scripture has been translated by a specific agent (such as a person, group, or organization).
-
E.
claimsNumberOfTranslators
Indicates that an entity asserts or reports a specific number of translators involved in a translation-related context.
- F. None of above. chosen
Provenance (4 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1eb3be481908fa7c6b8f1c78209 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b5e3d481909a5cbc4a96edd24f |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1e45380819094b3f32a278bd457 |
completed | March 7, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:45 p.m.