Triple

T7754420
Position Surface form Disambiguated ID Type / Status
Subject CSA E175853 entity
Predicate associatedWithCallsign P1565 FINISHED
Object CSA-LINES E175854 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-LINES | Statement: [CSA, associatedWithCallsign, CSA-LINES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSA-LINES
Context triple: [CSA, associatedWithCallsign, CSA-LINES]
  • A. CSA-LINES chosen
    CSA-LINES is the radio callsign used by Czech Airlines for its flight operations and air traffic communications.
  • B. CSA
    CSA is the ICAO airline designator used to identify Czech Airlines in international aviation operations.
  • C. CSA
    CSA is a U.S. Federal Motor Carrier Safety Administration initiative that monitors and enforces commercial motor vehicle safety performance to reduce crashes, injuries, and fatalities.
  • D. CSA
    CSA is the College Squash Association, the governing body that oversees intercollegiate squash competition and regulations in the United States.
  • E. CSA
    CSA is the Canadian Soccer Association, the national governing body responsible for overseeing soccer in Canada, including its youth and senior national teams.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d851d4819091e9117d3f34cb9a completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be5dbf5881908d07d70c8ae061a5 completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:08 p.m.