Triple
T13302871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Futa Tooro |
E316856
|
entity |
| Predicate | associatedWithJihadMovements |
P109420
|
FINISHED |
| Object | 18th-century Islamic reform |
—
|
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: 18th-century Islamic reform | Statement: [Futa Tooro, associatedWithJihadMovements, 18th-century Islamic reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithJihadMovements Context triple: [Futa Tooro, associatedWithJihadMovements, 18th-century Islamic reform]
-
A.
associatedWithAntiCaliph
Indicates a relationship in which an entity is connected or linked to an anti-caliph, typically through support, affiliation, or involvement.
-
B.
positionOnTerrorism
Indicates a stance or viewpoint that an entity holds regarding terrorism, such as its causes, legitimacy, or appropriate responses.
-
C.
terroristOrganization
Indicates that an entity is recognized as a group that plans, supports, or carries out acts of terrorism.
-
D.
associatedWithRebelGroup
Indicates that one entity is connected or linked in some capacity to a rebel group, such as through membership, support, collaboration, or affiliation.
-
E.
radicalizedIn
Indicates that an entity became radicalized or adopted extreme views within a specified place, context, or environment.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:28 p.m.