Triple

T7181383
Position Surface form Disambiguated ID Type / Status
Subject Jin Air E167454 entity
Predicate parentOrganization P254 FINISHED
Object Hanjin Group E458781 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: Hanjin Group | Statement: [Jin Air, parentOrganization, Hanjin Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanjin Group
Context triple: [Jin Air, parentOrganization, Hanjin Group]
  • A. Hanjin Group chosen
    Hanjin Group is a South Korean conglomerate best known for its global logistics and transportation businesses, including former flagship airline Korean Air.
  • B. 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.
  • C. Daewoo Shipbuilding & Marine Engineering
    Daewoo Shipbuilding & Marine Engineering is a major South Korean shipbuilding and offshore engineering company known for constructing large commercial vessels and marine structures.
  • D. Sea-Land Service, Inc.
    Sea-Land Service, Inc. was a pioneering American container shipping company that played a key role in the development and commercialization of modern intermodal containerization in global trade.
  • E. SK Group
    SK Group is one of South Korea’s largest conglomerates, with diversified businesses spanning energy, telecommunications, semiconductors, and chemicals.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8bc25088190a7d7f3ba2461b5e9 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b93d04ec8190ac5c5bf9ace7eca1 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.