Triple
T6280830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | anti-apartheid movement |
E140775
|
entity |
| Predicate | hadSlogan |
P6980
|
FINISHED |
| Object | Free Nelson Mandela |
—
|
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: Free Nelson Mandela | Statement: [anti-apartheid movement, hadSlogan, Free Nelson Mandela]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadSlogan Context triple: [anti-apartheid movement, hadSlogan, Free Nelson Mandela]
-
A.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific entity.
-
B.
sloganUsedIn
chosen
Indicates that a particular slogan is employed or featured within a specific context, such as a campaign, advertisement, or organization.
-
C.
associatedWithFamousSlogan
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
-
D.
historicalSloganDirectedAt
Indicates a relationship where a historical slogan was specifically addressed or targeted toward a particular audience, group, or entity.
-
E.
sloganCategory
Indicates that a slogan is classified as belonging to a particular category or type.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063ddb3a4819083455f6da854f8a9 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.