Triple

T13325392
Position Surface form Disambiguated ID Type / Status
Subject Martinair E317427 entity
Predicate callsign P1565 FINISHED
Object MARTINAIR E80785 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: MARTINAIR | Statement: [Martinair, callsign, MARTINAIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MARTINAIR
Context triple: [Martinair, callsign, MARTINAIR]
  • A. Crossair
    Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
  • B. Winair
    Winair is a regional Caribbean airline based in Sint Maarten that operates short-haul flights to nearby islands, including serving the famously short-runway Juancho E. Yrausquin Airport on Saba.
  • C. Martinair chosen
    Martinair is a Dutch airline based in the Netherlands that operates both cargo and charter passenger services, historically linked to KLM.
  • D. Kel Air
    Kel Air is a Tuareg confederation inhabiting the Aïr Mountains region of northern Niger, known for its nomadic pastoralist traditions and historical role in Saharan trade.
  • E. Interjet
    Interjet was a Mexican low-cost airline known for operating domestic and international routes across the Americas before ceasing operations in 2020.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992c1fec8190bcb6a6bb3c973a24 completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2cd5688190a2a0db0f0295de83 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:30 p.m.