Triple

T18064719
Position Surface form Disambiguated ID Type / Status
Subject Daewoo E432266 entity
Predicate subsidiary P258 FINISHED
Object Daewoo Motors 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: Daewoo Motors | Statement: [Daewoo, subsidiary, Daewoo Motors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daewoo Motors
Context triple: [Daewoo, subsidiary, Daewoo Motors]
  • A. Daewoo
    Daewoo is a South Korean automotive brand known for producing a range of affordable passenger vehicles and later becoming part of General Motors' global operations.
  • B. GM Daewoo
    GM Daewoo was a South Korean automobile manufacturer and former subsidiary of General Motors, known for producing a range of compact and mid-size cars for global markets.
  • C. Kia Motors
    Kia Motors is a South Korean automobile manufacturer known for producing a wide range of affordable cars and SUVs for global markets.
  • D. Daewoo Group chosen
    Daewoo Group was a major South Korean conglomerate (chaebol) that operated across industries such as automobiles, shipbuilding, electronics, and construction before its collapse during the Asian financial crisis.
  • E. Daewoo Precision Industries
    Daewoo Precision Industries is a South Korean firearms manufacturer known for producing military small arms and service rifles.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce74a0c81908375e3100c7578b8 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.