Triple
T18656465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupiah Banda |
E456076
|
entity |
| Predicate | term in office |
P17403
|
FINISHED |
| Object | Fourth President of Zambia |
—
|
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: Fourth President of Zambia | Statement: [Rupiah Banda, term in office, Fourth President of Zambia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: term in office Context triple: [Rupiah Banda, term in office, Fourth President of Zambia]
-
A.
termInOffice
chosen
Indicates the period during which an individual officially holds a particular office or position.
-
B.
numberOfTermInOffice
Indicates the specific ordinal count of how many terms an entity has served in a particular office or position.
-
C.
termInOfficeContext
Indicates that one entity’s tenure or period of holding an office, role, or position is being specified or contextualized in relation to another entity or timeframe.
-
D.
appointedTerm
Indicates that an entity has been officially assigned to hold a position or role for a specified term or duration.
-
E.
remainedInOfficeAs
Indicates that one entity continued to hold the same official position or role as another entity, without interruption, over a given period.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55084ca3481909ff3fd9045f25dcd |
completed | April 19, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.