Triple

T10412605
Position Surface form Disambiguated ID Type / Status
Subject Hang Seng Index E245428 entity
Predicate dataVendorCode P508 FINISHED
Object ^HSI
^HSI is the ticker symbol used to represent the Hang Seng Index, a major stock market index tracking the performance of large companies listed on the Hong Kong Stock Exchange.
 E862112 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: ^HSI | Statement: [Hang Seng Index, dataVendorCode, ^HSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ^HSI
Context triple: [Hang Seng Index, dataVendorCode, ^HSI]
  • A. HSI
    HSI is the principal investigative arm of the U.S. Department of Homeland Security, responsible for enforcing federal laws related to border security, customs, immigration, and transnational crime.
  • B. IHS
    IHS is a U.S. federal agency within the Department of Health and Human Services that provides health services to American Indians and Alaska Natives.
  • C. HSH
    HSH is the formal abbreviation used to address or refer to a person holding the noble style "His Serene Highness."
  • D. HYS
    HYS is the National Rail station code for Hayes railway station in the London Borough of Bromley.
  • E. HIMS
    HIMS is a research institute at the University of Amsterdam focused on advanced molecular sciences and chemistry.
  • 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: ^HSI
Triple: [Hang Seng Index, dataVendorCode, ^HSI]
Generated description
^HSI is the ticker symbol used to represent the Hang Seng Index, a major stock market index tracking the performance of large companies listed on the Hong Kong Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ^HSI
Target entity description: ^HSI is the ticker symbol used to represent the Hang Seng Index, a major stock market index tracking the performance of large companies listed on the Hong Kong Stock Exchange.
  • A. HSI
    HSI is the principal investigative arm of the U.S. Department of Homeland Security, responsible for enforcing federal laws related to border security, customs, immigration, and transnational crime.
  • B. IHS
    IHS is a U.S. federal agency within the Department of Health and Human Services that provides health services to American Indians and Alaska Natives.
  • C. HSH
    HSH is the formal abbreviation used to address or refer to a person holding the noble style "His Serene Highness."
  • D. HYS
    HYS is the National Rail station code for Hayes railway station in the London Borough of Bromley.
  • E. HIMS
    HIMS is a research institute at the University of Amsterdam focused on advanced molecular sciences and chemistry.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0e17f081908fb16425f65e5808 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbfae96c8190ac496e9a1158afe4 completed April 9, 2026, 7:20 p.m.
NEDg Description generation batch_69d822d6a0188190a7ee6de5aab50486 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859e40bf88190a6dc8deed3049d31 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:10 p.m.