Triple
T37259994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swazi royal family |
E924232
|
entity |
| Predicate | traditionalTitleOfQueenMother |
P92493
|
FINISHED |
| Object | Ndlovukati |
—
|
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: Ndlovukati | Statement: [Swazi royal family, traditionalTitleOfQueenMother, Ndlovukati]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalTitleOfQueenMother Context triple: [Swazi royal family, traditionalTitleOfQueenMother, Ndlovukati]
-
A.
titleOfQueenMother
chosen
Indicates that the object is the formal title held by the person serving as Queen Mother.
-
B.
traditionalTitleOfKing
Indicates that the object is the customary or historically recognized royal title held by the king specified as the subject.
-
C.
religiousTitleOfMonarch
Indicates that the object is the formal religious title or role held by the monarch subject.
-
D.
styleOfMonarchTitle
Indicates the specific formal style or wording used in the official title of a monarch.
-
E.
motherTitle
Indicates the formal title or honorific associated with a person's mother.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
Created at: May 3, 2026, 4:15 p.m.