Triple
T16446715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mwadi Mabika |
E399448
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mwadi |
E399448
|
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: Mwadi | Statement: [Mwadi Mabika, givenName, Mwadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mwadi Context triple: [Mwadi Mabika, givenName, Mwadi]
-
A.
Mwadi Mabika
chosen
Mwadi Mabika is a former Congolese professional basketball player best known as a standout guard for the Los Angeles Sparks in the WNBA.
-
B.
Gilgil River
Gilgil River is a freshwater river in Kenya’s Rift Valley that feeds into Lake Naivasha and supports surrounding agricultural and wildlife ecosystems.
-
C.
Moawhango River
The Moawhango River is a river in New Zealand’s central North Island that flows through rugged hill country and feeds into the larger Rangitīkei River system.
-
D.
Ruza River
The Ruza River is a waterway in western Russia that serves as one of the tributaries feeding into the Moskva River.
-
E.
Mangamma
Mangamma is an Indian surname commonly associated with South Indian families and traditional given names.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdcedf8819080aa82a8712c0b42 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ecfd99c8190a4375a0f62aa50d1 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:10 a.m.