Triple
T32933970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Loyalty to the Crown of Malaysia |
E842476
|
entity |
| Predicate | orderOfPrecedenceInMalaysia |
P180086
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Order of Loyalty to the Crown of Malaysia, orderOfPrecedenceInMalaysia, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfPrecedenceInMalaysia Context triple: [Order of Loyalty to the Crown of Malaysia, orderOfPrecedenceInMalaysia, high]
-
A.
orderOfPrecedenceInNigeria
Indicates the hierarchical ranking or protocol priority assigned to entities within Nigeria’s official order of precedence.
-
B.
legalClassificationInMalaysia
Indicates how something is categorized or classified under Malaysian law.
-
C.
areaRankInMalaysia
Indicates the relative position of an entity in a size-based ranking by area within Malaysia.
-
D.
outcomeForMalaysia
Indicates the result, consequence, or impact that a situation, event, or action has specifically for Malaysia.
-
E.
orderOfPrecedenceWithinOrderOfIkhamanga
Indicates the relative ranking or hierarchical priority of one instance within the set of distinctions that make up the Order of Ikhamanga.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: May 1, 2026, 1:20 a.m.