Triple
T8021543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African National Congress |
E186751
|
entity |
| Predicate | wonFirstMultiracialElection |
P67756
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [African National Congress, wonFirstMultiracialElection, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonFirstMultiracialElection Context triple: [African National Congress, wonFirstMultiracialElection, 1994]
-
A.
wonFirstDemocraticElection
Indicates that the subject achieved victory in the first democratic election held for a given office, position, or context.
-
B.
wasFirstPresidentialElectionAfter
Indicates that one presidential election was the first to occur after another specified presidential election.
-
C.
firstElectionUnder
chosen
Indicates that an election was the first one conducted under a particular rule, system, constitution, or governing framework.
-
D.
wonPresidentialElection
Indicates that one entity achieved victory over others in a presidential election.
-
E.
isFirstAfricanAmericanToHoldPosition
Indicates that a person is the first African American individual ever to occupy or serve in a specified position or role.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8eab9c81908098e6b17957316c |
completed | March 31, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:20 p.m.