Triple
T22063715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahlamba Ndlopfu |
E545213
|
entity |
| Predicate | predecessorNameContext |
P39756
|
FINISHED |
| Object | previously bore an Afrikaans name |
—
|
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: previously bore an Afrikaans name | Statement: [Mahlamba Ndlopfu, predecessorNameContext, previously bore an Afrikaans name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorNameContext Context triple: [Mahlamba Ndlopfu, predecessorNameContext, previously bore an Afrikaans name]
-
A.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
B.
predecessorNameUsage
chosen
Indicates that a name was used previously and has been replaced or superseded by a subsequent name in a sequence or lineage.
-
C.
predecessorTitleContext
Indicates that the relationship specifies the contextual circumstances (such as role, period, or setting) under which a predecessor’s title is relevant or applies.
-
D.
predecessorStateContext
Indicates that one state serves as the immediately preceding state within a given contextual sequence or process.
-
E.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12881f9e0819091b8e6d8ff6802bd |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.