Triple

T3552743
Position Surface form Disambiguated ID Type / Status
Subject KLM Cityhopper E75146 entity
Predicate alliance P600 FINISHED
Object SkyTeam (through KLM) E4870 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: SkyTeam (through KLM) | Statement: [KLM Cityhopper, alliance, SkyTeam (through KLM)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SkyTeam (through KLM)
Context triple: [KLM Cityhopper, alliance, SkyTeam (through KLM)]
  • A. KLM
    KLM is the flag carrier airline of the Netherlands and one of the world's oldest airlines still operating under its original name.
  • B. SkyTeam chosen
    SkyTeam is a global airline alliance that brings together multiple international carriers to coordinate routes, services, and frequent flyer benefits.
  • C. KLM line
    The KLM line was a legendary Soviet ice hockey forward trio featuring Vladimir Krutov, Igor Larionov, and Sergei Makarov, renowned for their skill, chemistry, and dominance in international play.
  • D. International Airlines Group
    International Airlines Group is a major multinational airline holding company based in Europe that owns several prominent carriers, including British Airways, Iberia, Vueling, and Aer Lingus.
  • E. Transavia
    Transavia is a Dutch low-cost airline operating scheduled and charter flights across Europe and North Africa.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05394888190b59fafda97b49beb completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38beef8b4819090109ab89e9671d6 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.