Triple
T23168003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Garang |
E578763
|
entity |
| Predicate | startTimeInOfficePresidentOfGovernmentOfSouthernSudan |
P1814
|
FINISHED |
| Object | 2005-07-09 |
—
|
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: 2005-07-09 | Statement: [John Garang, startTimeInOfficePresidentOfGovernmentOfSouthernSudan, 2005-07-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeInOfficePresidentOfGovernmentOfSouthernSudan Context triple: [John Garang, startTimeInOfficePresidentOfGovernmentOfSouthernSudan, 2005-07-09]
-
A.
startTimeAsDeputyPresident
Indicates the date and time at which an individual began serving in the role of Deputy President.
-
B.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
C.
startTimeAsSenatePresident
Indicates the date and time at which an individual begins serving in the role of Senate President.
-
D.
startTimeAsECPresident
Indicates the point in time at which an individual begins their term serving as President of the European Commission.
-
E.
officeHolderStartTime
chosen
Indicates the date and time at which an individual begins holding a particular office or position.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2d51288190af0d5747090d8e5d |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:03 p.m.