Triple
T14737678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuanza Norte Province |
E346255
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bolongongo
Bolongongo is a town and municipality located in Angola’s Cuanza Norte Province.
|
E1125874
|
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: Bolongongo | Statement: [Cuanza Norte Province, hasSettlement, Bolongongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolongongo Context triple: [Cuanza Norte Province, hasSettlement, Bolongongo]
-
A.
Bulange
Bulange is the historic administrative building of the Buganda Kingdom in Kampala, Uganda, serving as the seat of the Lukiiko (parliament) and the Kabaka’s offices.
-
B.
Bongwe
Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
-
C.
Bakalanga
Bakalanga are a Bantu-speaking ethnic group primarily found in southwestern Zimbabwe and northeastern Botswana, known for their rich cultural traditions and historical links to the Mapungubwe and Great Zimbabwe civilizations.
-
D.
Bassa Langa
Bassa Langa is the southern, lower-lying part of Italy’s Langhe area, known for its rolling hills, vineyards, and traditional Piedmontese wine and food culture.
-
E.
Mberengwa
Mberengwa is a rural district and growth point in Zimbabwe known for its mining activities and location in the southern part of the Midlands Province.
- 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: Bolongongo Triple: [Cuanza Norte Province, hasSettlement, Bolongongo]
Generated description
Bolongongo is a town and municipality located in Angola’s Cuanza Norte Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bolongongo Target entity description: Bolongongo is a town and municipality located in Angola’s Cuanza Norte Province.
-
A.
Bulange
Bulange is the historic administrative building of the Buganda Kingdom in Kampala, Uganda, serving as the seat of the Lukiiko (parliament) and the Kabaka’s offices.
-
B.
Bongwe
Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
-
C.
Bakalanga
Bakalanga are a Bantu-speaking ethnic group primarily found in southwestern Zimbabwe and northeastern Botswana, known for their rich cultural traditions and historical links to the Mapungubwe and Great Zimbabwe civilizations.
-
D.
Bassa Langa
Bassa Langa is the southern, lower-lying part of Italy’s Langhe area, known for its rolling hills, vineyards, and traditional Piedmontese wine and food culture.
-
E.
Mberengwa
Mberengwa is a rural district and growth point in Zimbabwe known for its mining activities and location in the southern part of the Midlands Province.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b43360481908dc73d5e6758fea6 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6e2f60408190b37d85d5e5f51eb1 |
completed | May 8, 2026, 11:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6e93ffbc819081ae127902a82c5b |
completed | May 8, 2026, 11:15 p.m. |
Created at: April 10, 2026, 1:29 a.m.