Triple
T21334121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Lucas |
E525991
|
entity |
| Predicate | endOfTermAsPremierOfNorthernCape |
P143762
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Sylvia Lucas, endOfTermAsPremierOfNorthernCape, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endOfTermAsPremierOfNorthernCape Context triple: [Sylvia Lucas, endOfTermAsPremierOfNorthernCape, 2019]
-
A.
endTimeOfPositionHeld: Prime Minister of South Africa
Indicates the date and time when an individual's tenure as Prime Minister of South Africa ended.
-
B.
firstTermAsChiefMinisterEnd
Indicates the date or point in time when an entity’s first term serving as Chief Minister came to an end.
-
C.
endOfTermAsGovernorOfNewSouthWales
Indicates the date or point in time when an individual's tenure as Governor of New South Wales concludes.
-
D.
startTimeOfPositionHeld: Prime Minister of South Africa
Indicates the date and time when an individual began serving in the position of Prime Minister of South Africa.
-
E.
secondTermAsChiefMinisterEnd
Indicates that an entity’s second term serving as Chief Minister has ended on a specified date or event.
- F. None of above. chosen
Provenance (4 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba65c4081908b93d5dc6a937cb6 |
completed | April 26, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:43 p.m.