Triple
T21574170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Futuhat al-Makkiyya |
E532354
|
entity |
| Predicate | hasPartialTranslations |
P144319
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [al-Futuhat al-Makkiyya, hasPartialTranslations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartialTranslations Context triple: [al-Futuhat al-Makkiyya, hasPartialTranslations, yes]
-
A.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
B.
hasTranslated
Indicates that one entity has rendered the content of another entity from one language into a different language.
-
C.
hasTranslationBase
Indicates that one entity serves as the original source or base text from which the other entity is translated.
-
D.
hasWorkTranslated
Indicates that a work has been rendered into another language or form by a translator.
-
E.
isPartially
Indicates that one entity is included within another to some extent, but not completely or fully.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cef2748190990a81967d49b706 |
completed | April 27, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:30 p.m.