Triple
T7907117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salafi jihadism |
E183603
|
entity |
| Predicate | hasTransnationalCharacter |
P32557
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Salafi jihadism, hasTransnationalCharacter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransnationalCharacter Context triple: [Salafi jihadism, hasTransnationalCharacter, true]
-
A.
underlyingIsMultinational
Indicates that the underlying entity operates in or is registered across multiple countries as a multinational organization.
-
B.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
-
C.
maintainsTransnationalTies
chosen
Indicates that an entity sustains ongoing social, economic, political, or cultural connections that span across national borders.
-
D.
hasInternationalName
Indicates that an entity is associated with a name used or recognized in an international or cross-linguistic context.
-
E.
hasTranslatorNationality
Indicates that the nationality of the translator of a work or text is a specified country or cultural affiliation.
- 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.