Triple
T13131690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitab al-Mansuri |
E311978
|
entity |
| Predicate | placeOfTranslation |
P108231
|
FINISHED |
| Object | medieval Europe |
—
|
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: medieval Europe | Statement: [Kitab al-Mansuri, placeOfTranslation, medieval Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfTranslation Context triple: [Kitab al-Mansuri, placeOfTranslation, medieval Europe]
-
A.
translationSource
Indicates that one entity serves as the original text or content from which another entity is translated.
-
B.
workTranslatedFrom
Indicates that a work is a translation derived from an original work in another language.
-
C.
languageTranslatedFrom
Indicates that a language is the source/original language from which content has been translated into another language.
-
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.
translationActivity
Indicates that an entity is engaged in the process of translating content from one language or form into another.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b27a8c81909a92ab7be5d3a7e9 |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:08 p.m.