Triple
T23355622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Zone of Recife |
E593038
|
entity |
| Predicate | containsNeighborhood |
P4813
|
FINISHED |
| Object | Bongi |
—
|
NE NERFINISHED |
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: Bongi | Statement: [West Zone of Recife, containsNeighborhood, Bongi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bongi Context triple: [West Zone of Recife, containsNeighborhood, Bongi]
-
A.
Bongi
chosen
Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
-
B.
Bongwe
Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
-
C.
Moingwena
The Moingwena were a Native American group historically associated with the Illinois (Illiniwek) confederation in the central Mississippi River region.
-
D.
Mpongwe
Mpongwe is a Bantu language variety spoken primarily in Gabon, recognized as one of the main dialects of the Myene language cluster.
-
E.
Bolongongo
Bolongongo is a town and municipality located in Angola’s Cuanza Norte Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a176b548190bf5a08bb2585344d |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:26 p.m.