Triple

T16381800
Position Surface form Disambiguated ID Type / Status
Subject Ondangwa E397823 entity
Predicate hasAirport P105 FINISHED
Object Ondangwa Airport E394743 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: Ondangwa Airport | Statement: [Ondangwa, hasAirport, Ondangwa Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ondangwa Airport
Context triple: [Ondangwa, hasAirport, Ondangwa Airport]
  • A. Ondangwa Airport chosen
    Ondangwa Airport is a regional airport in northern Namibia that serves the town of Ondangwa and surrounding communities in the Oshana Region.
  • B. Umbu Mehang Kunda Airport
    Umbu Mehang Kunda Airport is a regional airport serving the island of Sumba in East Nusa Tenggara, Indonesia, providing domestic connections to major Indonesian cities.
  • C. Umtata Airport
    Umtata Airport is a regional airport serving the town of Mthatha in the Eastern Cape province of South Africa.
  • D. Kasane Airport
    Kasane Airport is a small international airport in northern Botswana that serves as a key gateway for tourists visiting Chobe National Park and the surrounding safari region.
  • E. Nacala Airport
    Nacala Airport is a major international airport in northern Mozambique that serves the city of Nacala and the surrounding Nampula Province.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319dd0e0c8190812bde6a2f7d9644 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457751208190b1e3dd6be3c0f363 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:08 a.m.