Triple

T14037770
Position Surface form Disambiguated ID Type / Status
Subject Luanda Province E337756 entity
Predicate hasPort P35 FINISHED
Object Port of Luanda E1022465 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 Luanda | Statement: [Luanda Province, hasPort, Port of Luanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Luanda
Context triple: [Luanda Province, hasPort, Port of Luanda]
  • A. Port of Luanda chosen
    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.
  • B. 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.
  • C. Port of Muanda
    The Port of Muanda is a coastal seaport in the Democratic Republic of the Congo that serves as a key maritime outlet near the Atlantic terminus of the Congo River.
  • D. 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.
  • E. Port of Boma
    The Port of Boma is a key maritime gateway on the Congo River in the Democratic Republic of the Congo, serving regional trade and transport in Kongo Central Province.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30e312148190a6be0a3258364e6e completed April 14, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd099b7788190a7c309dba450e58f completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:20 p.m.