Triple
T11885393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ijebu people |
E282766
|
entity |
| Predicate | traditionalReligionDeity |
P5606
|
FINISHED |
| Object |
Sango
Sango is a powerful Yoruba thunder and lightning deity widely venerated across southwestern Nigeria and in the African diaspora.
|
E952037
|
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: Sango | Statement: [Ijebu people, traditionalReligionDeity, Sango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sango Context triple: [Ijebu people, traditionalReligionDeity, Sango]
-
A.
Sango
Sango is a Central African lingua franca and national language of the Central African Republic, originating as a Ngbandi-based trade language.
-
B.
Tanno
Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
-
C.
Ogunai
Ogunai is a small riverside settlement located along the Fly River in Papua New Guinea.
-
D.
Masego
Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
-
E.
Shingu
Shingu is a coastal city in Japan known for its historic Kumano Hongu Taisha shrine and its role as a gateway to the sacred Kumano Kodo pilgrimage routes.
- 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: Sango Triple: [Ijebu people, traditionalReligionDeity, Sango]
Generated description
Sango is a powerful Yoruba thunder and lightning deity widely venerated across southwestern Nigeria and in the African diaspora.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sango Target entity description: Sango is a powerful Yoruba thunder and lightning deity widely venerated across southwestern Nigeria and in the African diaspora.
-
A.
Sango
Sango is a Central African lingua franca and national language of the Central African Republic, originating as a Ngbandi-based trade language.
-
B.
Tanno
Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
-
C.
Ogunai
Ogunai is a small riverside settlement located along the Fly River in Papua New Guinea.
-
D.
Masego
Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
-
E.
Shingu
Shingu is a coastal city in Japan known for its historic Kumano Hongu Taisha shrine and its role as a gateway to the sacred Kumano Kodo pilgrimage routes.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a13370819086386fecb99e4f0b |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281f488a8819082f40dfdd12f29a2 |
completed | April 29, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69f2d6da770481908cd8787ba6b5763b |
completed | April 30, 2026, 4:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f2dc57c3888190920b4275ed0b5bff |
completed | April 30, 2026, 4:36 a.m. |
Created at: April 8, 2026, 9:44 p.m.