Triple
T10736325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toledo School of Translators |
E253203
|
entity |
| Predicate | translatedWorkType |
P20094
|
FINISHED |
| Object | philosophical treatises |
—
|
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: philosophical treatises | Statement: [Toledo School of Translators, translatedWorkType, philosophical treatises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translatedWorkType Context triple: [Toledo School of Translators, translatedWorkType, philosophical treatises]
-
A.
translatedWorkOf
Indicates that one work is a translation of another original work.
-
B.
typeOfTranslation
chosen
Indicates that one entity is a specific kind or category of translation in relation to another entity.
-
C.
workTranslatedFrom
Indicates that a work is a translation derived from an original work in another language.
-
D.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target work.
-
E.
translationActivity
Indicates that an entity is engaged in the process of translating content from one language or form into another.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71022aee0819091a5790d3dee6777 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.