Triple

T10956907
Position Surface form Disambiguated ID Type / Status
Subject Arusha Airport E258868 entity
Predicate operator P179 FINISHED
Object Tanzania Airports Authority E667768 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: Tanzania Airports Authority | Statement: [Arusha Airport, operator, Tanzania Airports Authority]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanzania Airports Authority
Context triple: [Arusha Airport, operator, Tanzania Airports Authority]
  • A. Tanzania Airports Authority chosen
    Tanzania Airports Authority is the government agency responsible for managing and operating civil airports and aerodromes throughout Tanzania.
  • B. Air Tanzania
    Air Tanzania is the national flag carrier airline of Tanzania, operating domestic and regional flights across East Africa and beyond.
  • C. Tanzania Railways Corporation
    Tanzania Railways Corporation is the state-owned company responsible for operating and managing much of Tanzania’s railway network for passenger and freight transport.
  • D. Kenya Airports Authority
    Kenya Airports Authority is the Kenyan government agency responsible for managing, operating, and developing the country’s major civil airports and airstrips.
  • E. Tabora Airport
    Tabora Airport is a regional public airport serving the town and surrounding Tabora Region in western Tanzania.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771260e9881909401a7a7466e1b8a completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7439204819092fcd061a161fd7b completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.