Triple

T9791081
Position Surface form Disambiguated ID Type / Status
Subject BSX E237607 entity
Predicate hasUnderlyingCompanyTickerCountry P8761 FINISHED
Object US E391540 NE FINISHED

How this triple was built (3 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: US | Statement: [BSX, hasUnderlyingCompanyTickerCountry, US]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US
Context triple: [BSX, hasUnderlyingCompanyTickerCountry, US]
  • A. US chosen
    The US, or United States, is a federal republic in North America comprising 50 states and known as one of the world's largest economic and military powers.
  • B. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as one of the world's most influential economic and political powers.
  • C. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as a major global economic and political power.
  • D. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • E. US
    US is the commonly used abbreviation for the University of Seville, a major public research university located in Seville, Spain.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingCompanyTickerCountry
Context triple: [BSX, hasUnderlyingCompanyTickerCountry, US]
  • A. underlyingTickerCountryCode chosen
    Indicates the country code associated with the underlying ticker to which an instrument or contract is linked.
  • B. countryOfUnderlyingCompany
    Indicates the country in which the underlying company associated with an entity is legally established or primarily based.
  • C. underlyingCompanyExchange
    Indicates that one entity is the stock exchange on which the underlying company of another financial instrument or contract is listed or traded.
  • D. underlyingCompanyTicker
    Indicates that one entity is the stock ticker symbol corresponding to the underlying company of another financial instrument or entity.
  • E. locationOfUnderlyingCompany
    Indicates the geographic place where the underlying company is based, registered, or operates.
  • F. None of above.

Provenance (4 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc3114ec8190ba80c9059481f946 completed April 5, 2026, 2:42 a.m.
PD Predicate disambiguation batch_69cd03d77c6c81909b675955bf113320 completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:28 p.m.