Triple
T14818803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuanza Sul Province |
E348387
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Porto Amboim
Porto Amboim is a coastal municipality and port town in western Angola known for its role in regional fishing and maritime trade.
|
E1121567
|
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: Porto Amboim | Statement: [Cuanza Sul Province, hasMunicipality, Porto Amboim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porto Amboim Context triple: [Cuanza Sul Province, hasMunicipality, Porto Amboim]
-
A.
Lourenço Marques
Lourenço Marques is the former name of Maputo, the capital city and main port of Mozambique.
-
B.
Beira
Beira is a major port city in central Mozambique, serving as a key commercial and transport hub for the region.
-
C.
Margão
Margão is a major commercial and cultural city in the South Goa district of the Indian state of Goa.
-
D.
Mindelo
Mindelo is the main port city and cultural hub of the Cape Verdean island of São Vicente, known for its vibrant music scene and colorful colonial architecture.
-
E.
Macapá
Macapá is a Brazilian city located on the northern bank of the Amazon River, known for being one of the few state capitals in the world situated directly on the equator.
- 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: Porto Amboim Triple: [Cuanza Sul Province, hasMunicipality, Porto Amboim]
Generated description
Porto Amboim is a coastal municipality and port town in western Angola known for its role in regional fishing and maritime trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porto Amboim Target entity description: Porto Amboim is a coastal municipality and port town in western Angola known for its role in regional fishing and maritime trade.
-
A.
Lourenço Marques
Lourenço Marques is the former name of Maputo, the capital city and main port of Mozambique.
-
B.
Beira
Beira is a major port city in central Mozambique, serving as a key commercial and transport hub for the region.
-
C.
Margão
Margão is a major commercial and cultural city in the South Goa district of the Indian state of Goa.
-
D.
Mindelo
Mindelo is the main port city and cultural hub of the Cape Verdean island of São Vicente, known for its vibrant music scene and colorful colonial architecture.
-
E.
Macapá
Macapá is a Brazilian city located on the northern bank of the Amazon River, known for being one of the few state capitals in the world situated directly on the equator.
- 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.