Triple

T10550814
Position Surface form Disambiguated ID Type / Status
Subject Hang Seng China Enterprises Index E248941 entity
Predicate alsoKnownAs P39 FINISHED
Object HSCEI
HSCEI is a major stock market index that tracks the performance of Chinese enterprises listed in Hong Kong, often used as a benchmark for China-related equities.
 E870248 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: HSCEI | Statement: [Hang Seng China Enterprises Index, alsoKnownAs, HSCEI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HSCEI
Context triple: [Hang Seng China Enterprises Index, alsoKnownAs, HSCEI]
  • A. CEHS
    CEHS is an academic unit focused on preparing professionals and conducting research in education and human sciences disciplines.
  • B. CEI
    CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
  • C. CEI
    The CEI is the assembly of Catholic bishops in Italy that coordinates the pastoral and administrative activities of the Catholic Church throughout the country.
  • D. CSIEA
    CSIEA is a U.S. federal law that regulates the import and export of controlled substances to prevent drug trafficking and abuse.
  • E. CEHC
    CEHC is an academic college focused on education and research in emergency preparedness, homeland security, and cybersecurity.
  • 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: HSCEI
Triple: [Hang Seng China Enterprises Index, alsoKnownAs, HSCEI]
Generated description
HSCEI is a major stock market index that tracks the performance of Chinese enterprises listed in Hong Kong, often used as a benchmark for China-related equities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HSCEI
Target entity description: HSCEI is a major stock market index that tracks the performance of Chinese enterprises listed in Hong Kong, often used as a benchmark for China-related equities.
  • A. CEHS
    CEHS is an academic unit focused on preparing professionals and conducting research in education and human sciences disciplines.
  • B. CEI
    CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
  • C. CEI
    The CEI is the assembly of Catholic bishops in Italy that coordinates the pastoral and administrative activities of the Catholic Church throughout the country.
  • D. CSIEA
    CSIEA is a U.S. federal law that regulates the import and export of controlled substances to prevent drug trafficking and abuse.
  • E. CEHC
    CEHC is an academic college focused on education and research in emergency preparedness, homeland security, and cybersecurity.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d4c4048190a104d6e088f565b3 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d934639b3481908204db41101132c3 completed April 10, 2026, 5:33 p.m.
NEDg Description generation batch_69d938c8b25c8190bb048053d8668e5c completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d939b1844881908c8fbcb9488863f6 completed April 10, 2026, 5:56 p.m.
Created at: April 6, 2026, 12:34 p.m.