Triple
T37616505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namasole |
E935937
|
entity |
| Predicate | hasTitleHolderRelationTo |
P1911
|
FINISHED |
| Object | Kabaka of Buganda |
—
|
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: Kabaka of Buganda | Statement: [Namasole, hasTitleHolderRelationTo, Kabaka of Buganda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleHolderRelationTo Context triple: [Namasole, hasTitleHolderRelationTo, Kabaka of Buganda]
-
A.
hasTitleRelation
Indicates that one entity holds a formal title, designation, or rank in relation to another entity.
-
B.
hasTitleHolderFamilyRelation
Indicates a family relationship between the current title holder and another person, specifying how they are related within the title holder’s family.
-
C.
hasTitleHolder
chosen
Indicates that one entity is the current or designated holder of a specific title, position, or honor associated with another entity.
-
D.
hasTitleCharacterRelation
Indicates a relationship where a title (such as a work or publication) is associated with or linked to a specific character appearing in it.
-
E.
refersToTitleHolder
Indicates that one entity makes reference to, or designates, the entity that currently holds a specific title or position.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: May 3, 2026, 4:18 p.m.