Triple
T14818801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuanza Sul Province |
E348387
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Libolo
Libolo is a municipality located in Angola’s Cuanza Sul Province, known for its rural communities and agricultural activities.
|
E1121565
|
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: Libolo | Statement: [Cuanza Sul Province, hasMunicipality, Libolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Libolo Context triple: [Cuanza Sul Province, hasMunicipality, Libolo]
-
A.
Liboi
Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
-
B.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
C.
Lokosi
Lokosi is the popular nickname of Croatian football club NK Lokomotiva Zagreb, used by its supporters and in local football culture.
-
D.
Lunyole
Lunyole is a Bantu language spoken in eastern Uganda, particularly associated with the Banyole people.
-
E.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
- 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: Libolo Triple: [Cuanza Sul Province, hasMunicipality, Libolo]
Generated description
Libolo is a municipality located in Angola’s Cuanza Sul Province, known for its rural communities and agricultural activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Libolo Target entity description: Libolo is a municipality located in Angola’s Cuanza Sul Province, known for its rural communities and agricultural activities.
-
A.
Liboi
Liboi is a small Kenyan border town in the arid northeast near Somalia, serving as a local trading and transit point.
-
B.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
C.
Lokosi
Lokosi is the popular nickname of Croatian football club NK Lokomotiva Zagreb, used by its supporters and in local football culture.
-
D.
Lunyole
Lunyole is a Bantu language spoken in eastern Uganda, particularly associated with the Banyole people.
-
E.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389940e081908ad627955cb8d52e |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3a315d2c81908db44e7792908e39 |
completed | May 8, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3bda81cc8190b256ec6284383dde |
completed | May 8, 2026, 7:39 p.m. |
Created at: April 10, 2026, 1:50 a.m.