Triple

T10413077
Position Surface form Disambiguated ID Type / Status
Subject South African Civil Aviation Authority E245442 entity
Predicate shortName P43 FINISHED
Object SACAA E245442 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: SACAA | Statement: [South African Civil Aviation Authority, shortName, SACAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SACAA
Context triple: [South African Civil Aviation Authority, shortName, SACAA]
  • A. SACU Secretariat
    The SACU Secretariat is the administrative and coordinating body responsible for implementing policies, facilitating cooperation, and supporting decision-making within the Southern African Customs Union.
  • B. South African Civil Aviation Authority chosen
    The South African Civil Aviation Authority is the national regulatory body responsible for overseeing civil aviation safety, security, and standards in South Africa.
  • C. SAA
    The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • D. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • E. SAA
    SAA is the National Rail station code for St Albans Abbey railway station in Hertfordshire, England.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0e17f081908fb16425f65e5808 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc043074819083d219ec1c40f931 completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:10 p.m.