Triple
T2741858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palo Monte |
E60767
|
entity |
| Predicate | hasClericalRole |
P3092
|
FINISHED |
| Object |
tata nganga
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.
|
E295980
|
NE FINISHED |
How this triple was built (4 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 Monte, hasClericalRole, tata nganga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tata nganga Context triple: [Palo Monte, hasClericalRole, tata nganga]
-
A.
Bobangi
Bobangi is a Bantu language historically spoken along the Congo River that served as a major regional trade lingua franca in Central Africa.
-
B.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
C.
Angangueo
Angangueo is a historic mining town in central Mexico best known as a gateway to the Monarch Butterfly Biosphere Reserve.
-
D.
Tangale
Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
-
E.
Naku Tanti
Naku Tanti is a celebrated literary work by the renowned Kannada poet D. R. Bendre, recognized as one of his most important contributions to modern Kannada poetry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: tata nganga Triple: [Palo Monte, hasClericalRole, tata nganga]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: tata nganga Target entity description: 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.
-
A.
Bobangi
Bobangi is a Bantu language historically spoken along the Congo River that served as a major regional trade lingua franca in Central Africa.
-
B.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
C.
Angangueo
Angangueo is a historic mining town in central Mexico best known as a gateway to the Monarch Butterfly Biosphere Reserve.
-
D.
Tangale
Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
-
E.
Naku Tanti
Naku Tanti is a celebrated literary work by the renowned Kannada poet D. R. Bendre, recognized as one of his most important contributions to modern Kannada poetry.
- F. None of above. chosen
Provenance (5 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb303898819098a7d192e29817f8 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbca8ac081909ce86d4cd911b4f1 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbcc1dd988190826ab05e55adf1ee |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd452e1c8190a3ee9eaf642e80a0 |
completed | March 10, 2026, 6:42 a.m. |
Created at: March 6, 2026, 9:56 p.m.