Triple

T1548541
Position Surface form Disambiguated ID Type / Status
Subject Czech Airlines E33033 entity
Predicate abbreviation P43 FINISHED
Object CSA E175853 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: CSA | Statement: [Czech Airlines, abbreviation, CSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSA
Context triple: [Czech Airlines, abbreviation, CSA]
  • A. CSA
    CSA is the common abbreviation for the Controlled Substances Act, the primary U.S. federal law regulating the manufacture, distribution, and use of certain drugs and chemicals.
  • B. CSA
    CSA is the Canadian Space Agency, the national organization responsible for Canada’s civil space program and space research activities.
  • C. CSA
    The Confederate States of America was a breakaway federation of eleven Southern U.S. states that fought against the Union during the American Civil War from 1861 to 1865.
  • D. CSA chosen
    CSA is the ICAO airline designator used to identify Czech Airlines in international aviation operations.
  • E. CESA
    CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90856642c81909d88a679eb265b10 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad370b9b4c819087d04abead99e81e completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:26 p.m.