Triple

T10956880
Position Surface form Disambiguated ID Type / Status
Subject Arusha Region E258867 entity
Predicate hasTransportHub P2413 FINISHED
Object Arusha Airport E258868 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: Arusha Airport | Statement: [Arusha Region, hasTransportHub, Arusha Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arusha Airport
Context triple: [Arusha Region, hasTransportHub, Arusha Airport]
  • A. Arusha Airport chosen
    Arusha Airport is a small domestic airport in northern Tanzania that serves the city of Arusha and acts as a gateway to nearby national parks and safari destinations.
  • B. Dodoma Airport
    Dodoma Airport is a public airport serving the capital city of Tanzania, providing regional air connections and access to the Dodoma area.
  • C. Kilimanjaro International Airport
    Kilimanjaro International Airport is a major international gateway in northern Tanzania that serves the cities of Arusha and Moshi and provides access to Mount Kilimanjaro and nearby safari destinations.
  • D. Kamuzu International Airport
    Kamuzu International Airport is the main international airport serving Lilongwe and one of the primary gateways to Malawi.
  • 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.