Triple
T2961890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maliki |
E80067
|
entity |
| Predicate | contemporaryRelevance |
P34114
|
FINISHED |
| Object | widely followed in North and West Africa |
—
|
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: widely followed in North and West Africa | Statement: [Maliki, contemporaryRelevance, widely followed in North and West Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contemporaryRelevance Context triple: [Maliki, contemporaryRelevance, widely followed in North and West Africa]
-
A.
contemporaryUse
chosen
Indicates that something is currently used or practiced in the present time or modern context.
-
B.
contemporaryReception
Indicates how a work, event, or figure was received, perceived, or evaluated by audiences and critics at the time it originally appeared or occurred.
-
C.
contemporary
Indicates that two entities exist, occur, or are active during the same time period or historical era.
-
D.
contemporaryWith
Indicates that two entities existed, occurred, or were active during the same time period.
-
E.
contemporaryOrganization
Indicates that two organizations exist or operate during the same time period, making them contemporaries.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9955e6488190bea170724d5fbfe8 |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.