Triple
T13984150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubangi-Shari |
E336389
|
entity |
| Predicate | usedLanguage |
P741
|
FINISHED |
| Object | Sango |
E274564
|
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: Sango | Statement: [Ubangi-Shari, usedLanguage, Sango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sango Context triple: [Ubangi-Shari, usedLanguage, Sango]
-
A.
Sango
chosen
Sango is a Central African lingua franca and national language of the Central African Republic, originating as a Ngbandi-based trade language.
-
B.
Sango
Sango is a powerful Yoruba thunder and lightning deity widely venerated across southwestern Nigeria and in the African diaspora.
-
C.
Tanno
Tanno is a district or locality within the city of Kitami in Hokkaido, Japan.
-
D.
Ogunai
Ogunai is a small riverside settlement located along the Fly River in Papua New Guinea.
-
E.
Masego
Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea2e8808190a1203a6386224bd8 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac942ba481908858d7f214085b5f |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:18 p.m.