Triple

T18328046
Position Surface form Disambiguated ID Type / Status
Subject National Library of Peru E439063 entity
Predicate abbreviation P43 FINISHED
Object 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.
 E1318920 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: BNP | Statement: [National Library of Peru, abbreviation, BNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BNP
Context triple: [National Library of Peru, abbreviation, 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. 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.
  • E. BPN
    BPN is the IATA airport code for Sultan Aji Muhammad Sulaiman Sepinggan International Airport serving Balikpapan in East Kalimantan, Indonesia.
  • 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: BNP
Triple: [National Library of Peru, abbreviation, BNP]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BNP
Target entity description: 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.
  • 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. 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.
  • E. BPN
    BPN is the IATA airport code for Sultan Aji Muhammad Sulaiman Sepinggan International Airport serving Balikpapan in East Kalimantan, Indonesia.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aac14488190840b9c22209f13d1 completed April 19, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4cc227481909497c0d13a8eb816 completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c8e79b8c8190a8e20ad0ef90fc19 completed May 13, 2026, 12:42 a.m.
NED2 Entity disambiguation (via description) batch_6a03c94a98ac819085d3f99bdf6f4970 completed May 13, 2026, 12:43 a.m.
Created at: April 10, 2026, 10:36 a.m.