Triple

T1037768
Position Surface form Disambiguated ID Type / Status
Subject Boeing 737 E22402 entity
Predicate firstCustomer P9839 FINISHED
Object Lufthansa E48740 NE FINISHED

How this triple was built (3 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: Lufthansa | Statement: [Boeing 737, firstCustomer, Lufthansa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lufthansa
Context triple: [Boeing 737, firstCustomer, Lufthansa]
  • A. Lufthansa chosen
    Lufthansa is Germany’s largest airline and a major global carrier known for its extensive international network and role in shaping modern airline alliances.
  • B. S7 Airlines
    S7 Airlines is a major Russian airline based in Novosibirsk that operates extensive domestic and international routes, particularly across Russia, Europe, and Asia.
  • C. Austrian Airlines
    Austrian Airlines is the flag carrier airline of Austria, operating an extensive network of European and long-haul flights from its main hub in Vienna.
  • D. Eurowings
    Eurowings is a German low-cost airline and Lufthansa subsidiary that operates short- and long-haul flights across Europe and selected international destinations.
  • E. Air Berlin
    Air Berlin was a now-defunct major German airline that operated extensive domestic and international routes, once serving as Germany’s second-largest carrier.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstCustomer
Context triple: [Boeing 737, firstCustomer, Lufthansa]
  • A. exportCustomer
    Indicates initiating the transfer or output of customer-related data from one system or context to another, typically for integration, backup, or reporting purposes.
  • B. primaryClient chosen
    Indicates that one entity serves as the main or most important client associated with another entity.
  • C. customerType
    Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
  • D. firstOffered
    Indicates that one entity was the earliest or initial provider or proposer of something to another entity or context.
  • E. servesCustomer
    Indicates that one entity provides service, assistance, or products to another entity in the role of a customer.
  • F. None of above.

Provenance (4 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b97c64a88190bf1119fdd4940bf3 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42990be88190aeda5ec08fce5288 completed March 7, 2026, 3:22 p.m.
PD Predicate disambiguation batch_69a4b729f8488190b2042bd9c625a833 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.