Triple
T35883335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalila wa Dimna |
E1037570
|
entity |
| Predicate | dateOfArabicAdaptation |
P194923
|
FINISHED |
| Object | 8th century |
—
|
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: 8th century | Statement: [Kalila wa Dimna, dateOfArabicAdaptation, 8th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfArabicAdaptation Context triple: [Kalila wa Dimna, dateOfArabicAdaptation, 8th century]
-
A.
releaseDateIran
Indicates the date on which something (typically a work or product) was officially released in Iran.
-
B.
firstAiredInAdaptation
Indicates that an adaptation of a work was first broadcast or released in a specified location or context.
-
C.
adaptationReleaseYear
Indicates the year in which an adaptation of a work was released.
-
D.
replacedOnIslamicDate
Indicates that one entity was replaced by another on a specific date according to the Islamic (Hijri) calendar.
-
E.
dateOfTranslation
Indicates the specific date on which a translation of a work or text was completed or officially produced.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
| PDg | Predicate description generation | batch_69fd8e5e9ca48190890a2caddc1f9f5c |
completed | May 8, 2026, 7:18 a.m. |
Created at: May 3, 2026, 4:06 p.m.