Triple

T14006788
Position Surface form Disambiguated ID Type / Status
Subject Beira Corridor E336969 entity
Predicate terminusAt P388 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, terminusAt, Port of Beira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Beira
Context triple: [Beira Corridor, terminusAt, 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 Povoação
    The Port of Povoação is a small maritime harbor on São Miguel Island in the Azores, serving local fishing, coastal transport, and regional maritime activities.
  • E. Beira (Portugal)
    Beira is a historical region in central Portugal known for its mountainous landscapes, fortified towns, and role as a traditional territorial division of the country.
  • 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_69fbaca5fb48819090fff1fd22e8a15c completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.