Triple
T11390145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Kabila |
E269813
|
entity |
| Predicate | timeInOfficeDescribedAs |
P87233
|
FINISHED |
| Object | post-conflict reconstruction period |
—
|
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: post-conflict reconstruction period | Statement: [Joseph Kabila, timeInOfficeDescribedAs, post-conflict reconstruction period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInOfficeDescribedAs Context triple: [Joseph Kabila, timeInOfficeDescribedAs, post-conflict reconstruction period]
-
A.
timeInOfficeCharacteristic
chosen
Indicates a characteristic or attribute specifically related to the duration or period an entity spends in office or in a particular official role.
-
B.
timeInOfficeRelation
Indicates a temporal relationship specifying the duration or period that an entity holds or held a particular office or position.
-
C.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
D.
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.
-
E.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.