Triple

T13802747
Position Surface form Disambiguated ID Type / Status
Subject Preussag AG E331680 entity
Predicate notableAcquisition P2511 FINISHED
Object Hapag-Lloyd E1063097 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: Hapag-Lloyd | Statement: [Preussag AG, notableAcquisition, Hapag-Lloyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hapag-Lloyd
Context triple: [Preussag AG, notableAcquisition, Hapag-Lloyd]
  • A. Hapag-Lloyd AG chosen
    Hapag-Lloyd AG is a major German international shipping and container transportation company known as one of the world’s leading liner shipping operators.
  • B. Orient Overseas Container Line
    Orient Overseas Container Line is a major Hong Kong-based international container shipping and logistics company.
  • C. K Line
    K Line is a light rail route in the Los Angeles Metro Rail system serving neighborhoods in South Los Angeles and connecting to key transit hubs.
  • D. Mediterranean Shipping Company
    Mediterranean Shipping Company is one of the world’s largest container shipping lines, operating a vast global fleet and network of maritime trade routes.
  • E. Hapag-Lloyd Express
    Hapag-Lloyd Express was a German low-cost airline that operated short-haul flights across Europe in the early 2000s before merging into TUIfly.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce68804881909546073eb72c504c completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:12 p.m.