Triple

T22002800
Position Surface form Disambiguated ID Type / Status
Subject Hoedspruit E543373 entity
Predicate servedBy P82 FINISHED
Object Eastgate Airport 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: Eastgate Airport | Statement: [Hoedspruit, servedBy, Eastgate Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastgate Airport
Context triple: [Hoedspruit, servedBy, Eastgate Airport]
  • A. Eastgate Airport chosen
    Eastgate Airport is a small regional airport in South Africa that serves the Hoedspruit area and provides access to nearby wildlife reserves and Kruger National Park.
  • B. Mwanza Airport
    Mwanza Airport is a regional airport in Mwanza, Tanzania, serving as a key hub for domestic flights and connections around Lake Victoria.
  • C. Emerald Airport
    Emerald Airport is a regional airport serving the town of Emerald and the surrounding Central Highlands region in Queensland, Australia.
  • D. Poston Airport
    Poston Airport is a small public-use airfield serving the community of Poston in La Paz County, Arizona.
  • E. Tandag Airport
    Tandag Airport is a public domestic airport serving the city of Tandag in Surigao del Sur, Philippines, providing regional air connectivity to the area.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276bf2a48190910d9c27f1c5e74f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.