Triple

T21967484
Position Surface form Disambiguated ID Type / Status
Subject Traditional Chinese medicine E542496 entity
Predicate documentedIn P309 FINISHED
Object Shennong Bencao Jing
Shennong Bencao Jing is an ancient Chinese pharmacological text traditionally attributed to the mythical Emperor Shennong, cataloging medicinal herbs and substances foundational to traditional Chinese medicine.
E1510141 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: Shennong Bencao Jing | Statement: [Traditional Chinese medicine, documentedIn, Shennong Bencao Jing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shennong Bencao Jing
Context triple: [Traditional Chinese medicine, documentedIn, Shennong Bencao Jing]
  • A. Compendium of Materia Medica
    The Compendium of Materia Medica is a monumental 16th-century Chinese pharmacopeia that systematically catalogs medicinal substances, their properties, and uses, and is regarded as one of the most important works in the history of traditional Chinese medicine.
  • B. Huangdi Neijing
    The Huangdi Neijing is a foundational classical text of Chinese medicine that systematically presents theories of health, disease, diagnosis, and treatment based on concepts like qi, yin-yang, and the five phases.
  • C. Bencao Gangmu
    Bencao Gangmu is a monumental 16th-century Chinese pharmacopeia and natural history encyclopedia that systematically documents medicinal substances, their properties, and uses in traditional Chinese medicine.
  • D. The Book of Medicines
    The Book of Medicines is a poetry collection by Chickasaw writer Linda Hogan that weaves Indigenous spirituality, environmental themes, and personal healing into lyrical meditations on land and body.
  • E. Hou Hanshu
    Hou Hanshu is an official history of the Eastern Han dynasty of China, compiled in the 5th century and renowned for its detailed accounts of politics, society, and foreign relations.
  • 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: Shennong Bencao Jing
Triple: [Traditional Chinese medicine, documentedIn, Shennong Bencao Jing]
Generated description
Shennong Bencao Jing is an ancient Chinese pharmacological text traditionally attributed to the mythical Emperor Shennong, cataloging medicinal herbs and substances foundational to traditional Chinese medicine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shennong Bencao Jing
Target entity description: Shennong Bencao Jing is an ancient Chinese pharmacological text traditionally attributed to the mythical Emperor Shennong, cataloging medicinal herbs and substances foundational to traditional Chinese medicine.
  • A. Compendium of Materia Medica
    The Compendium of Materia Medica is a monumental 16th-century Chinese pharmacopeia that systematically catalogs medicinal substances, their properties, and uses, and is regarded as one of the most important works in the history of traditional Chinese medicine.
  • B. Huangdi Neijing
    The Huangdi Neijing is a foundational classical text of Chinese medicine that systematically presents theories of health, disease, diagnosis, and treatment based on concepts like qi, yin-yang, and the five phases.
  • C. Bencao Gangmu
    Bencao Gangmu is a monumental 16th-century Chinese pharmacopeia and natural history encyclopedia that systematically documents medicinal substances, their properties, and uses in traditional Chinese medicine.
  • D. The Book of Medicines
    The Book of Medicines is a poetry collection by Chickasaw writer Linda Hogan that weaves Indigenous spirituality, environmental themes, and personal healing into lyrical meditations on land and body.
  • E. Hou Hanshu
    Hou Hanshu is an official history of the Eastern Han dynasty of China, compiled in the 5th century and renowned for its detailed accounts of politics, society, and foreign relations.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1245c5d148190af2a06190ba32feb completed April 28, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6714dec081908b4b7c33b10c1ccb completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a67b1437c81909ad38cf9c183a073 completed May 18, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a68244250819082094878c9001b5c completed May 18, 2026, 1:15 a.m.
Created at: April 16, 2026, 8:01 p.m.