Triple

T8106004
Position Surface form Disambiguated ID Type / Status
Subject EZE E189226 entity
Predicate servesAsFocusCityFor P1655 FINISHED
Object Flybondi E209572 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: Flybondi | Statement: [EZE, servesAsFocusCityFor, Flybondi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flybondi
Context triple: [EZE, servesAsFocusCityFor, Flybondi]
  • A. Flybondi chosen
    Flybondi is an Argentine low-cost airline known for pioneering budget air travel within Argentina and operating domestic and regional routes from key hubs such as Buenos Aires.
  • B. Jetairfly
    Jetairfly was the former brand name of TUI fly Belgium, a Belgian leisure airline operating charter and scheduled flights to holiday destinations across Europe and beyond.
  • C. Breeze Airways
    Breeze Airways is a U.S.-based low-cost airline founded by aviation entrepreneur David Neeleman, focusing on affordable, nonstop flights between underserved city pairs.
  • D. Ryan Airlines
    Ryan Airlines was an American aircraft manufacturer and airline best known for building Charles Lindbergh’s Spirit of St. Louis monoplane.
  • E. GO-FLY
    GO-FLY is the radio callsign used by the former British low-cost airline Go Fly for air traffic control and communication purposes.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42f735c8819090d0d822644c0a51 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc6422fb4c8190a5e7bedd323241d7 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:31 p.m.