Triple

T4761687
Position Surface form Disambiguated ID Type / Status
Subject Le Rhône 9J E105710 entity
Predicate usedBy P260 FINISHED
Object Belgian Air Service E105711 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: Belgian Air Service | Statement: [Le Rhône 9J, usedBy, Belgian Air Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belgian Air Service
Context triple: [Le Rhône 9J, usedBy, Belgian Air Service]
  • A. Belgian Air Service chosen
    The Belgian Air Service was the military aviation branch of Belgium during World War I, operating fighter and reconnaissance aircraft on the Western Front.
  • B. 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.
  • C. Martinair
    Martinair is a Dutch airline based in the Netherlands that operates both cargo and charter passenger services, historically linked to KLM.
  • D. Brussels Airport Company
    Brussels Airport Company is the organization responsible for managing and operating Brussels Airport, one of Belgium’s main international air transport hubs.
  • E. Transavia France
    Transavia France is a French low-cost airline and subsidiary of the Air France-KLM group, operating primarily short- and medium-haul leisure routes across Europe and the Mediterranean.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650eefe08190b99f9f01b121dbfd completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a81c9dc8190b9e7f399ac1de268 completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:20 p.m.