Triple

T2229744
Position Surface form Disambiguated ID Type / Status
Subject Hong Kong Stock Exchange E48735 entity
Predicate listedCompaniesInclude P30922 FINISHED
Object local Hong Kong companies LITERAL FINISHED

How this triple was built (2 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: local Hong Kong companies | Statement: [Hong Kong Stock Exchange, listedCompaniesInclude, local Hong Kong companies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: listedCompaniesInclude
Context triple: [Hong Kong Stock Exchange, listedCompaniesInclude, local Hong Kong companies]
  • A. employersInclude
    Indicates that a specified set or group of employers contains, as members, the employer or employers referenced by the other argument.
  • B. includesPublicCompanies
    Indicates that the referenced set, group, or collection contains one or more publicly traded companies as members.
  • C. companyIncorporatedIn
    Indicates that a company was legally formed and registered in a specified jurisdiction or location.
  • D. listsCompaniesFrom chosen
    Indicates that an entity provides or displays a collection of companies originating from or associated with a specified source or location.
  • E. hasNumberOfCompanies
    Indicates the quantitative relationship specifying how many companies are associated with a given entity.
  • F. None of above.

Provenance (3 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc069e0ac8190bcda8cba9f5c7a5d completed March 7, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69abbdadbb0c8190b3a1ede31b8acbfa completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:47 p.m.