Triple
T27949073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Famous Akademy |
E703372
|
entity |
| Predicate | nationalScene |
P178590
|
FINISHED |
| Object | Nigerian hip hop scene |
—
|
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 hip hop scene | Statement: [World Famous Akademy, nationalScene, Nigerian hip hop scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalScene Context triple: [World Famous Akademy, nationalScene, Nigerian hip hop scene]
-
A.
nationalView
Indicates that something is perceived, considered, or presented from the perspective of a nation as a whole, often reflecting nationwide opinion, policy, or outlook.
-
B.
nationalAttention
Indicates that an entity or event receives significant recognition, focus, or coverage at the level of an entire nation.
-
C.
nation
Indicates that an entity is a country or sovereign state, or that something pertains to such a country as a political unit.
-
D.
nationalImpact
Indicates that something has a significant effect or influence at the level of an entire nation.
-
E.
nationalRelevance
Indicates that something has significance, impact, or importance at the level of an entire nation.
- F. None of above. chosen
Provenance (4 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: April 27, 2026, 7:24 p.m.