Triple
T31687949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Jamalullail |
E808710
|
entity |
| Predicate | hasMemberWhoServedAs |
P112779
|
FINISHED |
| Object | Yang di-Pertuan Agong of Malaysia |
—
|
NE NERFINISHED |
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: Yang di-Pertuan Agong of Malaysia | Statement: [House of Jamalullail, hasMemberWhoServedAs, Yang di-Pertuan Agong of Malaysia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberWhoServedAs Context triple: [House of Jamalullail, hasMemberWhoServedAs, Yang di-Pertuan Agong of Malaysia]
-
A.
hasMemberWhoServedOn
Indicates that a group or organization includes at least one member who has served on a specified body, committee, or entity.
-
B.
hasMemberWhoHeldOffice
chosen
Indicates that a group or organization includes at least one member who has held a specified office or position.
-
C.
servedAs
Indicates that one entity held and performed the role, position, or function associated with another entity for some period of time.
-
D.
hasMemberWhoHeldOccupation
Indicates that a group or collective entity includes at least one member who has held a specified occupation.
-
E.
servedInRole
Indicates that one entity performed duties or held a position within a specified role or office in relation to 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: April 30, 2026, 11:07 p.m.