Triple

T11258136
Position Surface form Disambiguated ID Type / Status
Subject JNB E266492 entity
Predicate isPrimaryHubFor P2958 FINISHED
Object South African Airways E48741 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: South African Airways | Statement: [JNB, isPrimaryHubFor, South African Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South African Airways
Context triple: [JNB, isPrimaryHubFor, South African Airways]
  • A. South African Airways chosen
    South African Airways is the flag carrier airline of South Africa, operating domestic and international flights primarily from its hub in Johannesburg.
  • B. Sudan Airways
    Sudan Airways is the national flag carrier airline of Sudan, operating domestic and international flights primarily across Africa and the Middle East.
  • C. Nile Air
    Nile Air is a privately owned Egyptian airline that operates domestic and regional flights across the Middle East, North Africa, and parts of Europe.
  • D. East African Airways
    East African Airways was a former multinational airline jointly owned by Kenya, Tanzania, and Uganda that operated regional and international flights across Africa and beyond until its dissolution in the 1970s.
  • E. Kenya Airways
    Kenya Airways is the flag carrier airline of Kenya, operating an extensive network of passenger and cargo flights across Africa and to destinations worldwide.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e935b85c819085e1abf2dd4099c5 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccada158819080e49833e09f84a0 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.