Triple
T21326768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | António Emílio Leite Couto |
E525777
|
entity |
| Predicate | placeOfResidence |
P75
|
FINISHED |
| Object | Maputo, Mozambique |
—
|
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: Maputo, Mozambique | Statement: [António Emílio Leite Couto, placeOfResidence, Maputo, Mozambique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maputo, Mozambique Context triple: [António Emílio Leite Couto, placeOfResidence, Maputo, Mozambique]
-
A.
Maputo
chosen
Maputo is the largest city and main economic and cultural center of Mozambique, located on the country’s southern coast along the Indian Ocean.
-
B.
Durban–Maputo
Durban–Maputo is an international air route linking the South African coastal city of Durban with Mozambique’s capital, Maputo.
-
C.
Nampula
Nampula is a major city in northern Mozambique that serves as an important commercial and transportation hub for the region.
-
D.
Malaba
Malaba is a key border town between Uganda and Kenya that serves as a major transit point for regional trade and transport.
-
E.
Manzini
Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4a796081908148ec9106362d3d |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:41 p.m.