Triple

T4321894
Position Surface form Disambiguated ID Type / Status
Subject Daewoo G2X E96535 entity
Predicate manufacturer P490 FINISHED
Object 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.
 E432268 NE FINISHED

How this triple was built (4 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: GM Daewoo | Statement: [Daewoo G2X, manufacturer, GM Daewoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GM Daewoo
Context triple: [Daewoo G2X, manufacturer, GM Daewoo]
  • A. Kia Motors
    Kia Motors is a South Korean automobile manufacturer known for producing a wide range of affordable cars and SUVs for global markets.
  • B. Hyundai Motor Company
    Hyundai Motor Company is a leading South Korean automotive manufacturer known globally for producing a wide range of affordable and reliable vehicles.
  • C. Kia
    Kia is a small settlement located on Santa Isabel Island in the Solomon Islands, known for its remote, rural character and coastal setting.
  • D. Kia
    Kia is a feminine given name used in various cultures, often as a short form of names like Kiara or Kiana.
  • E. LG Group
    LG Group is a major South Korean multinational conglomerate known for its electronics, chemicals, and telecommunications businesses.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GM Daewoo
Triple: [Daewoo G2X, manufacturer, GM Daewoo]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GM Daewoo
Target entity description: 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.
  • A. Kia Motors
    Kia Motors is a South Korean automobile manufacturer known for producing a wide range of affordable cars and SUVs for global markets.
  • B. Hyundai Motor Company
    Hyundai Motor Company is a leading South Korean automotive manufacturer known globally for producing a wide range of affordable and reliable vehicles.
  • C. Kia
    Kia is a feminine given name used in various cultures, often as a short form of names like Kiara or Kiana.
  • D. Kia
    Kia is a small settlement located on Santa Isabel Island in the Solomon Islands, known for its remote, rural character and coastal setting.
  • E. LG Group
    LG Group is a major South Korean multinational conglomerate known for its electronics, chemicals, and telecommunications businesses.
  • F. None of above. chosen

Provenance (5 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3511608dc8190afe912aa605ecace completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09165a8819089fbb9b9ed4c82ff completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d4607a688190a3a7352579ea5ee7 completed March 14, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5d51068dc819099ac28361188dcc4 completed March 14, 2026, 9:37 p.m.
Created at: March 12, 2026, 11:12 p.m.