Triple

T17109528
Position Surface form Disambiguated ID Type / Status
Subject Kawasaki Heavy Industries, Ltd. E415188 entity
Predicate alternativeName P39 FINISHED
Object KHI E415195 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: KHI | Statement: [Kawasaki Heavy Industries, Ltd., alternativeName, KHI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KHI
Context triple: [Kawasaki Heavy Industries, Ltd., alternativeName, KHI]
  • A. KHI
    KHI is the IATA airport code for Jinnah International Airport serving Karachi, Pakistan.
  • B. KHI chosen
    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.
  • C. KIAH
    KIAH is the ICAO airport code for George Bush Intercontinental Airport, a major international airport serving the Houston, Texas metropolitan area.
  • D. BKH
    BKH is the National Rail station code for Blackheath railway station in southeast London, England.
  • E. 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.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc29c884819092a97d9663a1b1f7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a03e2e48190a0b631dd8f6f8a24 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.