Triple

T12613752
Position Surface form Disambiguated ID Type / Status
Subject Douglas DC-6 E301197 entity
Predicate usedBy P260 FINISHED
Object KLM E31984 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: KLM | Statement: [Douglas DC-6, usedBy, KLM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KLM
Context triple: [Douglas DC-6, usedBy, KLM]
  • A. KLM chosen
    KLM is the flag carrier airline of the Netherlands and one of the world's oldest airlines still operating under its original name.
  • B. 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.
  • C. KLM Cityhopper
    KLM Cityhopper is a Dutch regional airline and subsidiary of KLM that operates short-haul flights across Europe, primarily feeding traffic into KLM’s main network.
  • D. Transavia
    Transavia is a Dutch low-cost airline operating scheduled and charter flights across Europe and North Africa.
  • E. Brussels Airlines
    Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c2e5b88190a7cc16002b218d8a completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed1044c8190bbe881d32a4bf29e completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:12 p.m.