Triple
T5435372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamist groups |
E121993
|
entity |
| Predicate | isDebatedAs |
P57127
|
FINISHED |
| Object | threat to secular governance in some countries |
—
|
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: threat to secular governance in some countries | Statement: [Islamist groups, isDebatedAs, threat to secular governance in some countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDebatedAs Context triple: [Islamist groups, isDebatedAs, threat to secular governance in some countries]
-
A.
debatedWithin
chosen
Indicates that something is discussed or argued about within a particular group, context, or domain.
-
B.
hasLongTermDebateOn
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
-
C.
hasDebatedStatus
Indicates that an entity has participated in or been assigned a particular status related to a debate or debating activity.
-
D.
partOfDebate
Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
-
E.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
- 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_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. |
Created at: March 20, 2026, 2:06 p.m.