Triple
T30980397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominique Mbonyumutwa |
E789355
|
entity |
| Predicate | monarchPreceded |
P24974
|
FINISHED |
| Object | Mutara III Rudahigwa |
—
|
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: Mutara III Rudahigwa | Statement: [Dominique Mbonyumutwa, monarchPreceded, Mutara III Rudahigwa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchPreceded Context triple: [Dominique Mbonyumutwa, monarchPreceded, Mutara III Rudahigwa]
-
A.
reignPreceded
Indicates that one entity’s reign occurred immediately before another entity’s reign in a temporal succession.
-
B.
previousMonarch
chosen
Indicates that one entity served as the monarch immediately before another entity in a succession.
-
C.
monarchBeforeCoronation
Indicates that an individual holds the status or role of monarch prior to their formal coronation ceremony.
-
D.
originalMonarch
Indicates that a monarch is the first or founding ruler of a particular realm, title, or dynasty.
-
E.
predecessorAsKing
Indicates that one entity previously held the position of king immediately before the other 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 29, 2026, 8:55 p.m.