Triple
T12154857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultan of Sokoto |
E289547
|
entity |
| Predicate | exertsInfluenceIn |
P6148
|
FINISHED |
| Object | Nigerian politics |
—
|
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: Nigerian politics | Statement: [Sultan of Sokoto, exertsInfluenceIn, Nigerian politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exertsInfluenceIn Context triple: [Sultan of Sokoto, exertsInfluenceIn, Nigerian politics]
-
A.
hasSignificantInfluenceIn
Indicates that one entity exerts a substantial impact or shaping effect on another entity within a particular domain, context, or outcome.
-
B.
politicalInfluenceIn
chosen
Indicates that an entity exerts or holds political influence within a specified place, jurisdiction, or political context.
-
C.
seeksToInfluence
Indicates an entity’s intention or effort to affect, shape, or alter another entity’s behavior, decisions, or state.
-
D.
hasRegionalInfluenceFrom
Indicates that one entity’s influence, impact, or authority in a region is derived from or shaped by another entity.
-
E.
administrativeInfluenceOn
Indicates that one entity has the authority or capacity to affect, direct, or shape the administration, management, or governance of 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.