Triple
T35567296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United National Independence Party |
E1027811
|
entity |
| Predicate | governedDuringPresident |
P203734
|
FINISHED |
| Object | Kenneth Kaunda |
E456071
|
NE 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: Kenneth Kaunda | Statement: [United National Independence Party, governedDuringPresident, Kenneth Kaunda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governedDuringPresident Context triple: [United National Independence Party, governedDuringPresident, Kenneth Kaunda]
-
A.
operatedDuringPresidencyOf
Indicates that an entity carried out its operations or activities during the time period when another entity held a presidential office.
-
B.
builtDuringGovernorshipOf
Indicates that the construction of one entity occurred during the period when another entity held a governing office.
-
C.
beganDuringPresidencyOf
Indicates that an event, process, or state started while a specified person was serving as president.
-
D.
builtDuringPresidencyOf
Indicates that the construction of something occurred while a specified person was serving as president.
-
E.
meetsDuringPresidencyOf
Indicates that one entity meets another while a specified person is serving as president.
- F. None of above. chosen
Provenance (5 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01d48f41f4819093a5b47288a073c1 |
completed | May 11, 2026, 1:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a389c02049c8190b7103e2c0fc73f95 |
completed | June 22, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_6a01d3fa278c8190838174dd96ef5dde |
completed | May 11, 2026, 1:04 p.m. |
| PDg | Predicate description generation | batch_6a01d48e9b3481908104de8a345de5ef |
completed | May 11, 2026, 1:07 p.m. |
Created at: May 3, 2026, 4:04 p.m.