Triple

T874524
Position Surface form Disambiguated ID Type / Status
Subject Durban E18886 entity
Predicate Port of Durban P21139 FINISHED
Object one of the busiest ports in Africa LITERAL 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: one of the busiest ports in Africa | Statement: [Durban, Port of Durban, one of the busiest ports in Africa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Port of Durban
Context triple: [Durban, Port of Durban, one of the busiest ports in Africa]
  • A. isPortOfCallFor
    Indicates that a location serves as a scheduled stop or destination for a ship, vehicle, or journey.
  • B. mooredAt
    Indicates that one object, typically a vessel or floating structure, is secured or anchored at a specific location or facility.
  • C. porte
    Indicates that an entity carries, wears, or bears another entity (such as an object, attribute, or characteristic).
  • D. majorPortAtMouth
    Indicates that a major port is located at the mouth of a river where it meets a larger body of water.
  • E. cityAtMouth
    Indicates that a city is located at or very near the mouth (outlet) of a river.
  • F. None of above. chosen

Provenance (4 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac992d8c819088800f5a713fa7a4 completed March 1, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69a4aa8b9b5c81909ac71904f8b8b5cd completed March 1, 2026, 9:07 p.m.
PDg Predicate description generation batch_69a4abb157d08190a7d7281eb3f1b788 completed March 1, 2026, 9:12 p.m.
Created at: March 1, 2026, 7:39 p.m.