Triple

T21199148
Position Surface form Disambiguated ID Type / Status
Subject Malindi E522404 entity
Predicate hasPort P35 FINISHED
Object Malindi 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: Malindi Port | Statement: [Malindi, hasPort, Malindi Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malindi Port
Context triple: [Malindi, hasPort, Malindi Port]
  • A. 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.
  • B. Malindi chosen
    Malindi is a historic coastal town in southeastern Kenya known for its beaches, Swahili culture, and role as a former trading port on the Indian Ocean.
  • C. 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.
  • D. Mombasa
    Mombasa is a major coastal city in Kenya known as a key regional port and historic trading hub on the Indian Ocean.
  • E. Port of Tanga
    The Port of Tanga is a major seaport on Tanzania’s northern coast, serving as an important hub for regional trade and maritime transport in East Africa.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7342fe3a08190b7ed2cadf60091a8 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:17 p.m.