Triple

T12696029
Position Surface form Disambiguated ID Type / Status
Subject Bannu Airport E303335 entity
Predicate IATA code P2569 FINISHED
Object BNP
BNP is the three-letter IATA airport code assigned to Bannu Airport in Pakistan.
E998297 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: [Bannu Airport, IATA code, BNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BNP
Context triple: [Bannu Airport, IATA code, BNP]
  • A. BNP
    BNP is the National Rail station code assigned to Barnstaple railway station in Devon, England.
  • B. BNP
    BNP is the stock ticker symbol for BNP Paribas, a major French international banking and financial services group.
  • C. 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.
  • D. BNX
    BNX is the IATA airport code for Banja Luka International Airport in Bosnia and Herzegovina.
  • E. BNM
    BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
  • 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: [Bannu Airport, IATA code, BNP]
Generated description
BNP is the three-letter IATA airport code assigned to Bannu Airport in Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BNP
Target entity description: BNP is the three-letter IATA airport code assigned to Bannu Airport in Pakistan.
  • 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. 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.
  • D. BNX
    BNX is the IATA airport code for Banja Luka International Airport in Bosnia and Herzegovina.
  • E. BNM
    BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ebd17081909f983567e4b36533 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671ae935c8190a7fc2cf3c0987248 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6740129688190b286ce7acb4848c7 completed May 2, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_69f675249d248190933421df49d3a2ab completed May 2, 2026, 10:05 p.m.
Created at: April 9, 2026, 5:22 p.m.