Triple
T14998628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanga Region |
E374023
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Digo |
E893979
|
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: Digo | Statement: [Tanga Region, hasEthnicGroup, Digo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digo Context triple: [Tanga Region, hasEthnicGroup, Digo]
-
A.
Digo
chosen
Digo are a coastal Bantu ethnic group of the Mijikenda people, primarily living along the southern Kenyan and northern Tanzanian coast, known for their Swahili-influenced culture and trade history.
-
B.
Saca
Saca is a Spanish-language surname most notably associated with former Salvadoran president Antonio Saca.
-
C.
DioGuardi
DioGuardi is the surname of Kara DioGuardi, an American songwriter, record producer, and former American Idol judge.
-
D.
Hevioso
Hevioso is a major Fon deity associated with thunder, lightning, and justice in the traditional religion of the Fon people of West Africa.
-
E.
Diez
Diez is a small historic town in western Germany’s Rhineland-Palatinate, known for its picturesque setting on the Lahn River and its prominent hilltop castle.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969c3ba88190899f06b185e94ccf |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.