Triple
T14006800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beira Corridor |
E336969
|
entity |
| Predicate | mainPort |
P942
|
FINISHED |
| Object | Port of Beira |
E66877
|
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 Beira | Statement: [Beira Corridor, mainPort, Port of Beira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Beira Context triple: [Beira Corridor, mainPort, Port of Beira]
-
A.
Port of Maputo
The Port of Maputo is Mozambique’s principal deep-water seaport and a major regional hub for maritime trade in southeastern Africa.
-
B.
Beira
chosen
Beira is a major port city in central Mozambique, serving as a key commercial and transport hub for the region.
-
C.
Port of Luanda
The Port of Luanda is Angola’s principal seaport and one of the busiest maritime hubs on Africa’s west coast, serving as a key gateway for regional and international trade.
-
D.
Port of Madalena
The Port of Madalena is a key maritime facility on Pico Island in the Azores, serving as an important hub for passenger ferries, local commerce, and regional transport.
-
E.
Port of Lobito
The Port of Lobito is a major Atlantic seaport in Angola that serves as a key gateway for regional trade and transport, particularly for central and southern Africa.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed327d88190a53af5768468a8eb |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb653fedc81908cdd0dde2d3f3329 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.