Triple
T5232535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawi script |
E118143
|
entity |
| Predicate | statusInMalaysia |
P62530
|
FINISHED |
| Object | used for religious and traditional contexts |
—
|
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: used for religious and traditional contexts | Statement: [Jawi script, statusInMalaysia, used for religious and traditional contexts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInMalaysia Context triple: [Jawi script, statusInMalaysia, used for religious and traditional contexts]
-
A.
politicalStatusInMalaysia
Indicates the political role, position, or standing that an entity holds within the political system or context of Malaysia.
-
B.
statusInMali
Indicates the legal, social, or official condition or standing that an entity holds within the context of Mali.
-
C.
statusOfIndonesia
Indicates the current condition, situation, or standing associated with Indonesia in a given context.
-
D.
statusInTurkey
Indicates the legal, social, or official condition or standing that an entity holds within the context of Turkey.
-
E.
areaRankInMalaysia
Indicates the relative position of an entity in a size-based ranking by area within Malaysia.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0389048190b55b7c44fe657044 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7aff0244819085c4799793ed0185 |
completed | March 20, 2026, 4:51 p.m. |
Created at: March 20, 2026, 1:49 p.m.