Triple
T17916844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matola River |
E447949
|
entity |
| Predicate | hasEconomicImportanceFor |
P14281
|
FINISHED |
| Object |
Matola
Matola is a major Mozambican city and industrial hub located near the capital Maputo, known for its manufacturing, port-related activities, and role in regional trade.
|
E1296313
|
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: Matola | Statement: [Matola River, hasEconomicImportanceFor, Matola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matola Context triple: [Matola River, hasEconomicImportanceFor, Matola]
-
A.
Bothasig
Bothasig is a residential suburb in the northern part of Cape Town, South Africa.
-
B.
Lobamba
Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
-
C.
Mitchells Plain
Mitchells Plain is a large, predominantly residential township in Cape Town, South Africa, known for its dense population, socio-economic challenges, and vibrant community life.
-
D.
Egoli
Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
-
E.
Cofimvaba
Cofimvaba is a small rural town in South Africa’s Eastern Cape province, known as a local service and administrative center for the surrounding villages.
- 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: Matola Triple: [Matola River, hasEconomicImportanceFor, Matola]
Generated description
Matola is a major Mozambican city and industrial hub located near the capital Maputo, known for its manufacturing, port-related activities, and role in regional trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matola Target entity description: Matola is a major Mozambican city and industrial hub located near the capital Maputo, known for its manufacturing, port-related activities, and role in regional trade.
-
A.
Bothasig
Bothasig is a residential suburb in the northern part of Cape Town, South Africa.
-
B.
Lobamba
Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
-
C.
Mitchells Plain
Mitchells Plain is a large, predominantly residential township in Cape Town, South Africa, known for its dense population, socio-economic challenges, and vibrant community life.
-
D.
Egoli
Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
-
E.
Cofimvaba
Cofimvaba is a small rural town in South Africa’s Eastern Cape province, known as a local service and administrative center for the surrounding villages.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3062bfc819083f7c0521bad4db8 |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03212c9e88819099fb04040e543d63 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a0321e2ce7c81909f24975b71f73621 |
completed | May 12, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032255c76c81909ab534ae3e8adddc |
completed | May 12, 2026, 12:51 p.m. |
Created at: April 10, 2026, 10:20 a.m.