Triple
T33131835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 15th Yang di-Pertuan Agong |
E847892
|
entity |
| Predicate | selectionRotation |
P16786
|
FINISHED |
| Object | among nine Malay hereditary rulers |
—
|
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: among nine Malay hereditary rulers | Statement: [15th Yang di-Pertuan Agong, selectionRotation, among nine Malay hereditary rulers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionRotation Context triple: [15th Yang di-Pertuan Agong, selectionRotation, among nine Malay hereditary rulers]
-
A.
selectionFrom
chosen
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
-
B.
selectionRitual
Indicates a process or ceremony through which one or more entities are chosen from a set of candidates.
-
C.
selectionRight
Indicates that one entity is chosen or designated as the correct or preferred option among a set of possible selections.
-
D.
selectionCategory
Indicates the classification or grouping under which a particular selection or choice is categorized.
-
E.
selectionCharacteristic
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
- 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_69f349588f088190b7c9588860f72033 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:27 a.m.