Triple
T36337905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Islamic Front |
E894836
|
entity |
| Predicate | influencedGovernmentOf |
P6148
|
FINISHED |
| Object | Sudan |
—
|
NE NERFINISHED |
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: Sudan | Statement: [National Islamic Front, influencedGovernmentOf, Sudan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedGovernmentOf Context triple: [National Islamic Front, influencedGovernmentOf, Sudan]
-
A.
headOfGovernmentInfluence
Indicates that one entity (typically a person or office) exerts political or administrative influence over the actions, decisions, or policies of a head of government.
-
B.
politicalPowerInfluencedBy
Indicates that the extent or nature of an entity’s political power is shaped, affected, or determined by another entity or factor.
-
C.
influencedAppointmentOf
Indicates that one entity played a role in shaping, guiding, or determining the selection or appointment of another entity to a position or role.
-
D.
politicalInfluenceIn
chosen
Indicates that an entity exerts or holds political influence within a specified place, jurisdiction, or political context.
-
E.
influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
- 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_69f76e4e90148190b02fe52593c70b5b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 3, 2026, 4:09 p.m.