Triple
T7907102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salafi jihadism |
E183603
|
entity |
| Predicate | ideologicallyOpposes |
P18907
|
FINISHED |
| Object | secularism |
—
|
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: secularism | Statement: [Salafi jihadism, ideologicallyOpposes, secularism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ideologicallyOpposes Context triple: [Salafi jihadism, ideologicallyOpposes, secularism]
-
A.
opposingIdeology
chosen
Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
-
B.
opposesLabel
Indicates that one entity expresses disagreement with, resistance to, or active opposition against another entity or its position.
-
C.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
D.
ideologicallyFramedAs
Indicates that one entity is portrayed or interpreted in terms of a particular ideology or ideological perspective in relation to another entity.
-
E.
hasOpposedIdea
Indicates that one entity holds an idea that conflicts with, contradicts, or stands in opposition to the idea held by another entity.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5871b8819087ad69c116c40091 |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:03 p.m.