Triple
T19056444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakainde Hichilema |
E466407
|
entity |
| Predicate | numberOfPresidentialRunsBeforeVictory |
P42054
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Hakainde Hichilema, numberOfPresidentialRunsBeforeVictory, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPresidentialRunsBeforeVictory Context triple: [Hakainde Hichilema, numberOfPresidentialRunsBeforeVictory, 5]
-
A.
numberOfPresidentialCampaigns
chosen
Indicates the total count of times an individual has run as a candidate in a presidential election.
-
B.
wonPresidencyWith
Indicates that one entity attained the presidency by means of, or through the support, strategy, or circumstances provided by, another entity.
-
C.
wonPresidentialElection
Indicates that one entity achieved victory over others in a presidential election.
-
D.
hasPresidentBeforeElection
Indicates that an entity already has a designated or acting president prior to a specified election event.
-
E.
numberOfPresidentialRounds
Indicates the total count of distinct terms or periods a person has served as president.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc067f788190b3b149dfee370435 |
completed | April 20, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.