Triple
T12390368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palo Mayombe |
E295976
|
entity |
| Predicate | hasKeyFigure |
P810
|
FINISHED |
| Object | tata nganga |
E295980
|
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: tata nganga | Statement: [Palo Mayombe, hasKeyFigure, tata nganga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tata nganga Context triple: [Palo Mayombe, hasKeyFigure, tata nganga]
-
A.
tata nganga
chosen
Tata nganga is a high-ranking priest and ritual specialist in the Afro-Cuban Palo Monte religion, responsible for leading ceremonies, divination, and work with spiritual forces.
-
B.
Bangangté
Bangangté is a prominent city in western Cameroon known as an important administrative and commercial center of the West Region.
-
C.
Bobangi
Bobangi is a Bantu language historically spoken along the Congo River that served as a major regional trade lingua franca in Central Africa.
-
D.
Tengatangi
Tengatangi is a small village settlement located on the island of Atiu in the Cook Islands.
-
E.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63479df38819085c5ca791c460d5e |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.