Triple

T22460481
Position Surface form Disambiguated ID Type / Status
Subject BNP E555214 entity
Predicate hasUnderlyingCompanyStockExchangeCode P105085 FINISHED
Object BNP.PA NE NERFINISHED

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: BNP.PA | Statement: [BNP, hasUnderlyingCompanyStockExchangeCode, BNP.PA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BNP.PA
Context triple: [BNP, hasUnderlyingCompanyStockExchangeCode, BNP.PA]
  • A. BNP chosen
    BNP is the stock ticker symbol for BNP Paribas, a major French international banking and financial services group.
  • B. BNP
    BNP is the three-letter IATA airport code assigned to Bannu Airport in Pakistan.
  • C. BNP
    BNP is the National Library of Peru, the country’s principal public institution responsible for preserving and providing access to its documentary and bibliographic heritage.
  • D. BNP
    BNP is the acronym commonly used to refer to the National Library of Portugal, the country’s main institution for preserving and providing access to its bibliographic heritage.
  • E. BNP
    BNP is the National Rail station code assigned to Barnstaple railway station in Devon, England.
  • 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: hasUnderlyingCompanyStockExchangeCode
Context triple: [BNP, hasUnderlyingCompanyStockExchangeCode, BNP.PA]
  • A. underlyingCompanyExchange
    Indicates that one entity is the stock exchange on which the underlying company of another financial instrument or contract is listed or traded.
  • B. underlyingCompanyExchangeCode chosen
    Indicates the stock exchange code on which the underlying company’s securities are listed or traded.
  • C. underlyingCompanyStockExchangeCountry
    Indicates the country in which the stock exchange is located on which the underlying company’s shares are traded.
  • D. issuerStockExchangeCode
    Indicates the stock exchange code where the issuer’s securities are listed or traded.
  • E. hasStockExchange
    Indicates that an entity is associated with or listed on a particular stock exchange.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7eb5688190bd5e41d4d8189668 completed April 29, 2026, 1:14 a.m.
PD Predicate disambiguation batch_69e898ad961c819098fd1e46129bddcc completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:48 p.m.