Triple
T12040165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobangi |
E286637
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Bangala |
E286636
|
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: Bangala | Statement: [Bobangi, relatedTo, Bangala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangala Context triple: [Bobangi, relatedTo, Bangala]
-
A.
Bangala
chosen
Bangala is a regional variety of the Bantu language Lingala, spoken primarily in parts of the Democratic Republic of the Congo and neighboring areas.
-
B.
Bangalee
Bangalee is the popular stage nickname of Nigerian singer, songwriter, and harmonica-playing entertainer D'banj, known for his energetic Afrobeats hits.
-
C.
Banga
Banga is an alternative name for the ancient Vanga region, a historical territory in the eastern part of the Indian subcontinent, largely corresponding to present-day Bangladesh and parts of West Bengal.
-
D.
Banga
Banga is a municipality in the province of Aklan in the Philippines, known for its agricultural economy and proximity to the provincial capital, Kalibo.
-
E.
Banga
Banga is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice fields and inland resorts.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040c1a6c8190aea1388e82dd8f5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d9937a08190b2f606a1e55733b5 |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.