Triple
T3337324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maputo |
E70168
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Maputo |
E71066
|
NE FINISHED |
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: Port of Maputo | Statement: [Maputo, hasPort, Port of Maputo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Maputo Context triple: [Maputo, hasPort, Port of Maputo]
-
A.
Port of Maputo
chosen
The Port of Maputo is Mozambique’s principal deep-water seaport and a major regional hub for maritime trade in southeastern Africa.
-
B.
Beira
Beira is a major port city in central Mozambique, serving as a key commercial and transport hub for the region.
-
C.
Port of Nacala
The Port of Nacala is a deep-water seaport in northern Mozambique that serves as a major regional hub for maritime trade and transport in southeastern Africa.
-
D.
Port of Durban
The Port of Durban is Africa’s busiest and largest container port, serving as a major gateway for maritime trade on the east coast of South Africa.
-
E.
Port of Malabo
The Port of Malabo is the principal seaport of Equatorial Guinea’s capital city, serving as a key hub for the country’s oil, gas, and general maritime trade in the Gulf of Guinea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bc31b4819085f01e0b5a7cbc5d |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a8ad1a8819081d7ad2a48e2c5b9 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.