Triple

T19672495
Position Surface form Disambiguated ID Type / Status
Subject Tanzam Highway E472366 entity
Predicate associatedWith P37 FINISHED
Object Dar es Salaam port 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: Dar es Salaam port | Statement: [Tanzam Highway, associatedWith, Dar es Salaam port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dar es Salaam port
Context triple: [Tanzam Highway, associatedWith, Dar es Salaam port]
  • A. Port of Dar es Salaam chosen
    The Port of Dar es Salaam is Tanzania’s principal maritime gateway and one of East Africa’s busiest ports, handling the majority of the country’s international trade and serving several landlocked neighboring states.
  • B. Kilwa Masoko Port
    Kilwa Masoko Port is a coastal seaport in southern Tanzania that serves as a key maritime gateway for the Kilwa area and the wider Lindi Region.
  • C. Dar es Salaam
    Dar es Salaam is a major coastal metropolis on the Indian Ocean and the principal economic and commercial hub of Tanzania.
  • D. Port of Mombasa
    The Port of Mombasa is Kenya’s largest and busiest seaport, serving as a key gateway for maritime trade in East and Central Africa.
  • E. Mombasa
    Mombasa is a major coastal city in Kenya known as a key regional port and historic trading hub on the Indian Ocean.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416d61008190af531c6d346d7da1 completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.