Triple
T2713804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dumebi |
E59920
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Jonzing World |
E292198
|
NE 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: Jonzing World | Statement: [Dumebi, recordLabel, Jonzing World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonzing World Context triple: [Dumebi, recordLabel, Jonzing World]
-
A.
Jonzing World
chosen
Jonzing World is a Nigerian record label and entertainment company known for discovering and managing Afrobeats artists such as Rema.
-
B.
JOG
JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
-
C.
Ejogo
Ejogo is a surname most notably associated with British actress and singer Carmen Ejogo.
-
D.
Giez
Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
-
E.
The Zone
The Zone was the lively amusement and entertainment district of the Panama–Pacific International Exposition, featuring rides, shows, and attractions for fairgoers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda924b24819090adc4128e86d4bd |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc033d94481908e4709529ab93442 |
completed | March 10, 2026, 6:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.