Triple
T16451982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playeros |
E399573
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ndowe |
E60746
|
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: Ndowe | Statement: [Playeros, partOf, Ndowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ndowe Context triple: [Playeros, partOf, Ndowe]
-
A.
Ndowe
chosen
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
B.
Njuká
Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
-
C.
Wele-Nzas
Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
-
D.
Ndzebi
Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
-
E.
Nwoya
Nwoya is a town in northern Uganda that serves as the administrative and commercial center of Nwoya District.
- 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_69e32ce19344819083d323077b742bc3 |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004598ec088190be80ad70e3f1357e |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.