Triple

T674404
Position Surface form Disambiguated ID Type / Status
Subject Cannabaceae E13047 entity
Predicate containsGenus P9413 FINISHED
Object Zhengyia
Zhengyia is a little-known genus of flowering plants in the hemp family Cannabaceae, likely comprising herbaceous species native to East Asia.
E90706 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: Zhengyia | Statement: [Cannabaceae, containsGenus, Zhengyia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhengyia
Context triple: [Cannabaceae, containsGenus, Zhengyia]
  • A. Shina
    Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
  • B. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • E. Chongxin
    Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
  • 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: Zhengyia
Triple: [Cannabaceae, containsGenus, Zhengyia]
Generated description
Zhengyia is a little-known genus of flowering plants in the hemp family Cannabaceae, likely comprising herbaceous species native to East Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zhengyia
Target entity description: Zhengyia is a little-known genus of flowering plants in the hemp family Cannabaceae, likely comprising herbaceous species native to East Asia.
  • A. Shina
    Shina is an Indo-Aryan language spoken primarily in the Gilgit-Baltistan region of Pakistan and surrounding Himalayan areas.
  • B. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • E. Chongxin
    Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a02537d08190942ee5fc8c50610a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6666745d88190ad09c24724aeac99 completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a666d46ce0819096b66eeb93e8ae89 completed March 3, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69a6673797a8819097b444d783fc8bdc completed March 3, 2026, 4:44 a.m.
Created at: March 1, 2026, 7:36 p.m.