Triple
T37102007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yang di-Pertua Negeri of Sabah |
E918728
|
entity |
| Predicate | confersHonours |
P3622
|
FINISHED |
| Object | State orders and decorations of Sabah |
—
|
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: State orders and decorations of Sabah | Statement: [Yang di-Pertua Negeri of Sabah, confersHonours, State orders and decorations of Sabah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confersHonours Context triple: [Yang di-Pertua Negeri of Sabah, confersHonours, State orders and decorations of Sabah]
-
A.
confersKnighthood
Indicates that one entity formally grants the status or title of knighthood to another entity.
-
B.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
-
C.
honoursTitle
Indicates that an entity holds or is designated by a formal honorific or honorary title.
-
D.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
-
E.
confersTitle
chosen
Indicates that one entity grants or bestows an official title or designation upon 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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 3, 2026, 4:14 p.m.