Triple
T8782925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1995 Ouagadougou peace agreement |
E208975
|
entity |
| Predicate | endedInsurgencyType |
P85350
|
FINISHED |
| Object | Tuareg-led insurgencies |
—
|
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: Tuareg-led insurgencies | Statement: [1995 Ouagadougou peace agreement, endedInsurgencyType, Tuareg-led insurgencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endedInsurgencyType Context triple: [1995 Ouagadougou peace agreement, endedInsurgencyType, Tuareg-led insurgencies]
-
A.
ideologyOfInsurgents
Indicates the guiding beliefs, values, or political doctrine held by insurgent groups that shape their goals and actions.
-
B.
majorInsurgencySettlement
Indicates that a location is a primary site where an insurgency has been significantly active, organized, or based.
-
C.
typeOfTerrorism
Indicates a classification relationship where an act or event is identified as belonging to a specific category or type of terrorism.
-
D.
factionType
Indicates the classification or category of a faction within a broader system or context.
-
E.
rebelInstitution
Indicates that an institution actively resists, opposes, or defies an established authority, system, or governing power.
- F. None of above. chosen
Provenance (4 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f72f4bc8190b85bd051d3db6881 |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:42 p.m.