Triple

T4133627
Position Surface form Disambiguated ID Type / Status
Subject Kawasaki Heavy Industries E85096 entity
Predicate shortName P43 FINISHED
Object KHI
KHI is the commonly used abbreviation for Kawasaki Heavy Industries, a major Japanese multinational corporation known for manufacturing motorcycles, aerospace equipment, ships, and industrial machinery.
 E415195 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: KHI | Statement: [Kawasaki Heavy Industries, shortName, KHI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KHI
Context triple: [Kawasaki Heavy Industries, shortName, KHI]
  • A. KHI
    KHI is the IATA airport code for Jinnah International Airport serving Karachi, Pakistan.
  • B. KIAH
    KIAH is the ICAO airport code for George Bush Intercontinental Airport, a major international airport serving the Houston, Texas metropolitan area.
  • C. Korla
    Korla is a major oasis city in Xinjiang, China, known as an important transportation and economic hub along the northern edge of the Taklamakan Desert.
  • D. Quetta
    Quetta is a major city in western Pakistan known as the provincial capital of Balochistan and a key commercial and military center near the Afghan border.
  • E. Kandahar
    Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
  • 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: KHI
Triple: [Kawasaki Heavy Industries, shortName, KHI]
Generated description
KHI is the commonly used abbreviation for Kawasaki Heavy Industries, a major Japanese multinational corporation known for manufacturing motorcycles, aerospace equipment, ships, and industrial machinery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KHI
Target entity description: KHI is the commonly used abbreviation for Kawasaki Heavy Industries, a major Japanese multinational corporation known for manufacturing motorcycles, aerospace equipment, ships, and industrial machinery.
  • A. KHI
    KHI is the IATA airport code for Jinnah International Airport serving Karachi, Pakistan.
  • B. KIAH
    KIAH is the ICAO airport code for George Bush Intercontinental Airport, a major international airport serving the Houston, Texas metropolitan area.
  • C. Korla
    Korla is a major oasis city in Xinjiang, China, known as an important transportation and economic hub along the northern edge of the Taklamakan Desert.
  • D. Quetta
    Quetta is a major city in western Pakistan known as the provincial capital of Balochistan and a key commercial and military center near the Afghan border.
  • E. Kandahar
    Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02306d608190bf8945d560f87c21 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c4c0888190be156d093ea11207 completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b5780ac150819085bba7d3e94d702f completed March 14, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69b578b7eb0081909f25ed15fee1cf50 completed March 14, 2026, 3:03 p.m.
Created at: March 9, 2026, 3:43 p.m.