Triple
T8238392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malcolm Fraser |
E192467
|
entity |
| Predicate | supportedSanctionsAgainst |
P74931
|
FINISHED |
| Object | apartheid South Africa |
—
|
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: apartheid South Africa | Statement: [Malcolm Fraser, supportedSanctionsAgainst, apartheid South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedSanctionsAgainst Context triple: [Malcolm Fraser, supportedSanctionsAgainst, apartheid South Africa]
-
A.
coSanctionsWith
Indicates that two or more entities jointly impose, support, or participate in the same sanctions or sanctioning action.
-
B.
isSanctionedBy
Indicates that an entity is subject to official penalties, restrictions, or punitive measures imposed by another authority or organization.
-
C.
coSanctions
Indicates that two or more entities jointly impose or support the same sanction or set of sanctions on a target.
-
D.
canBeSanctionedFor
Indicates that an entity is subject to penalties or disciplinary measures as a consequence of a specified action, behavior, or condition.
-
E.
positionOnSanctions
chosen
Indicates a stance or viewpoint an entity holds regarding the use, implementation, or support of sanctions.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783a8cf48190bf85394fd3bd79e2 |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.