Triple

T32777906
Position Surface form Disambiguated ID Type / Status
Subject Airbus H175 E838268 entity
Predicate ChineseVariant P175110 FINISHED
Object Harbin Z-15
The Harbin Z-15 is a medium-lift utility helicopter jointly developed by China and Airbus, based on the Airbus H175 design and adapted for Chinese military and civilian use.
 E2022014 NE FINISHED

How this triple was built (3 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: Harbin Z-15 | Statement: [Airbus H175, ChineseVariant, Harbin Z-15]
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: Harbin Z-15
Triple: [Airbus H175, ChineseVariant, Harbin Z-15]
Generated description
The Harbin Z-15 is a medium-lift utility helicopter jointly developed by China and Airbus, based on the Airbus H175 design and adapted for Chinese military and civilian use.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: ChineseVariant
Context triple: [Airbus H175, ChineseVariant, Harbin Z-15]
  • A. ChineseNameTraditional
    Indicates that an entity’s name is given in traditional Chinese characters.
  • B. usedChineseCharacters
    Indicates that one entity employed or wrote using Chinese characters in relation to another entity or context.
  • C. hasChineseVersion
    Indicates that an entity has a corresponding version or representation available in Chinese.
  • D. middleChineseOrigin
    Indicates that something originates from or is derived from Middle Chinese.
  • E. majorChineseTranslator
    Indicates that one entity serves as a primary or leading translator of Chinese language content for another entity.
  • F. None of above. chosen

Provenance (7 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_69f3493a824c8190938489ba69041d08 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cee547108190ad3bc84297d8f516 completed May 3, 2026, 4:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a7cec5c08190bab0ff87a1bc4906 completed June 19, 2026, 2:22 a.m.
NEDg Description generation batch_6a34a8c9ff148190bb0a898592a43028 completed June 19, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_6a34a975be8881909994d6bf3f5eec61 completed June 19, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f6cc1667a48190b42684f6ec22dae9 completed May 3, 2026, 4:16 a.m.
PDg Predicate description generation batch_69f6ce6c76bc8190b865343d3f5810c9 completed May 3, 2026, 4:26 a.m.
Created at: May 1, 2026, 1:13 a.m.