Triple

T17684979
Position Surface form Disambiguated ID Type / Status
Subject King Mswati III International Airport E440864 entity
Predicate replaced P101 FINISHED
Object Matsapha 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: Matsapha Airport | Statement: [King Mswati III International Airport, replaced, Matsapha Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matsapha Airport
Context triple: [King Mswati III International Airport, replaced, Matsapha Airport]
  • A. Matsapha Airport chosen
    Matsapha Airport is a small public airport in Eswatini that historically served as the country’s main international gateway before most commercial flights moved to King Mswati III International Airport.
  • B. Mmabatho Airport
    Mmabatho Airport is a regional airport serving the town of Mmabatho in South Africa’s North West Province, handling domestic flights and general aviation.
  • C. Umtata Airport
    Umtata Airport is a regional airport serving the town of Mthatha in the Eastern Cape province of South Africa.
  • D. Mthatha Airport
    Mthatha Airport is a regional airport in Mthatha, Eastern Cape, South Africa, providing domestic air services to the surrounding area.
  • E. Ulundi Airport
    Ulundi Airport is a regional airport serving the town of Ulundi in KwaZulu-Natal, South Africa, providing air connectivity for passengers and local government activities.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704710488190826aaf0bdd4b2088 completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:02 a.m.