Triple

T21630892
Position Surface form Disambiguated ID Type / Status
Subject Hanwha Group E533824 entity
Predicate subsidiary P258 FINISHED
Object Hanwha Aerospace NE NERFINISHED

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: Hanwha Aerospace | Statement: [Hanwha Group, subsidiary, Hanwha Aerospace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanwha Aerospace
Context triple: [Hanwha Group, subsidiary, Hanwha Aerospace]
  • A. Hanwha Aerospace chosen
    Hanwha Aerospace is a South Korean defense and aerospace company known for producing advanced military systems and components for global markets.
  • B. Korea Aerospace Industries
    Korea Aerospace Industries is South Korea’s leading aerospace and defense company, known for developing and producing military aircraft, helicopters, and space systems.
  • C. Hanwha Defense
    Hanwha Defense is a South Korean defense company specializing in the development and production of advanced military systems, including artillery, armored vehicles, and air defense solutions.
  • D. Hanwha Group
    Hanwha Group is a major South Korean conglomerate with diversified businesses spanning chemicals, energy, defense, finance, and construction.
  • E. KAI Logistik
    KAI Logistik is a logistics and freight services company operating under Indonesia’s state-owned railway operator Kereta Api Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef521679fc81909c94d42439fda4ba completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.