Triple

T11237594
Position Surface form Disambiguated ID Type / Status
Subject Virgin Express E265982 entity
Predicate mergedWith P77 FINISHED
Object SN Brussels Airlines E52985 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: SN Brussels Airlines | Statement: [Virgin Express, mergedWith, SN Brussels Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SN Brussels Airlines
Context triple: [Virgin Express, mergedWith, SN Brussels Airlines]
  • A. Brussels Airlines chosen
    Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
  • B. Belgian Air Service
    The Belgian Air Service was the military aviation branch of Belgium during World War I, operating fighter and reconnaissance aircraft on the Western Front.
  • C. Sabena
    Sabena was the former national airline of Belgium, operating international passenger and cargo services from 1923 until its bankruptcy in 2001.
  • 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. Martinair
    Martinair is a Dutch airline based in the Netherlands that operates both cargo and charter passenger services, historically linked to KLM.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6e9390819085d10635cb039f85 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.