Triple
T30980465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mwami of Rwanda |
E789356
|
entity |
| Predicate | legalStatusUnderBelgium |
P120235
|
FINISHED |
| Object | indirect rule monarch |
—
|
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: indirect rule monarch | Statement: [Mwami of Rwanda, legalStatusUnderBelgium, indirect rule monarch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusUnderBelgium Context triple: [Mwami of Rwanda, legalStatusUnderBelgium, indirect rule monarch]
-
A.
legalStatusInBelgium
chosen
Indicates the legal status or standing that an entity holds within the jurisdiction of Belgium.
-
B.
demographicStatusInBelgium
Indicates the demographic status or classification an entity holds within the population of Belgium.
-
C.
legalStatusInEuropeanUnion
Indicates the legal status or standing that an entity holds within the jurisdictional framework of the European Union.
-
D.
hasNameInBelgium
Indicates that an entity is known or referred to by a particular name specifically within the context of Belgium.
-
E.
positionInBelgium
Indicates that one entity occupies a specific geographic location within the territory of Belgium.
- 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_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
Created at: April 29, 2026, 8:55 p.m.