Triple
T5435361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamist groups |
E121993
|
entity |
| Predicate | hasInternalDiversity |
P64047
|
FINISHED |
| Object | non-violent Islamist groups |
—
|
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: non-violent Islamist groups | Statement: [Islamist groups, hasInternalDiversity, non-violent Islamist groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternalDiversity Context triple: [Islamist groups, hasInternalDiversity, non-violent Islamist groups]
-
A.
isMostDiverseClassOf
Indicates that one class has the greatest diversity (e.g., in members, attributes, or types) compared to all other classes in a given set.
-
B.
diversifiedIn
Indicates that an entity has expanded its involvement, investments, or activities across multiple different areas, sectors, or asset types.
-
C.
hadInternalDivision
Indicates that an entity experienced a split or conflict within its own members, factions, or components.
-
D.
centerOfDiversity
Indicates the location where a particular group, trait, or phenomenon exhibits its greatest variety or concentration of diversity.
-
E.
geneticDiversity
Indicates variation in genetic characteristics within or between populations or groups.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd922dc688819092bf33589ebc6d50 |
completed | March 20, 2026, 6:30 p.m. |
Created at: March 20, 2026, 2:06 p.m.