Triple
T8555036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malay |
E202542
|
entity |
| Predicate | typicalReligionConversionPeriod |
P28896
|
FINISHED |
| Object | 13th to 15th centuries |
—
|
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: 13th to 15th centuries | Statement: [Malay, typicalReligionConversionPeriod, 13th to 15th centuries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalReligionConversionPeriod Context triple: [Malay, typicalReligionConversionPeriod, 13th to 15th centuries]
-
A.
religiousConversionPeriod
chosen
Indicates the time span during which an entity undergoes or is involved in a process of religious conversion.
-
B.
convertedToReligion
Indicates that an entity adopted or changed to a particular religion, typically from a previous belief system or lack thereof.
-
C.
conversionToChristianityCentury
Indicates the century during which an entity underwent or was associated with a conversion to Christianity.
-
D.
laterRevertedReligion
Indicates that an entity adopted a religion and then subsequently reverted or returned to a previous or different religious affiliation.
-
E.
convertedToIslamWith
Indicates that one entity adopted Islam through the influence, guidance, or involvement of another entity.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe88a936c8190a0234bf7da2ff55a |
completed | March 31, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69cbd1160fcc8190aa380a73610af731 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:19 p.m.