Triple

T19934855
Position Surface form Disambiguated ID Type / Status
Subject National Library of Portugal E479148 entity
Predicate shortName P43 FINISHED
Object BNP 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 | Statement: [National Library of Portugal, shortName, BNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BNP
Context triple: [National Library of Portugal, shortName, BNP]
  • A. BNP
    BNP is the stock ticker symbol for BNP Paribas, a major French international banking and financial services group.
  • B. BNP
    BNP is the National Rail station code assigned to Barnstaple railway station in Devon, England.
  • C. BNP
    BNP is the three-letter IATA airport code assigned to Bannu Airport in Pakistan.
  • D. 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.
  • E. BPN
    BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BNP
Target entity description: 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.
  • A. BNP
    BNP is the stock ticker symbol for BNP Paribas, a major French international banking and financial services group.
  • B. BNP
    BNP is the National Rail station code assigned to Barnstaple railway station in Devon, England.
  • C. BNP
    BNP is the three-letter IATA airport code assigned to Bannu Airport in Pakistan.
  • D. 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.
  • E. BPN
    BPN is the National Rail station code for Blackpool North railway station, a primary rail terminus serving the seaside town of Blackpool in Lancashire, England.
  • F. None of above. chosen

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a161a6c819084165ea528ec2f64 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.