Triple

T7135741
Position Surface form Disambiguated ID Type / Status
Subject Barnstaple railway station E166301 entity
Predicate hasStationCode P1289 FINISHED
Object BNP
BNP is the National Rail station code assigned to Barnstaple railway station in Devon, England.
 E644472 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: [Barnstaple railway station, hasStationCode, BNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BNP
Context triple: [Barnstaple railway station, hasStationCode, BNP]
  • A. BNP
    BNP is the stock ticker symbol for BNP Paribas, a major French international banking and financial services group.
  • B. 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.
  • C. BNX
    BNX is the IATA airport code for Banja Luka International Airport in Bosnia and Herzegovina.
  • D. BNM
    BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
  • E. NBP
    NBP is the commonly used abbreviation for the New Bilibid Prison, the Philippines’ main national penitentiary located in Muntinlupa City.
  • 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: [Barnstaple railway station, hasStationCode, BNP]
Generated description
BNP is the National Rail station code assigned to Barnstaple railway station in Devon, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BNP
Target entity description: BNP is the National Rail station code assigned to Barnstaple railway station in Devon, England.
  • A. BNP
    BNP is the stock ticker symbol for BNP Paribas, a major French international banking and financial services group.
  • B. 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.
  • C. BNX
    BNX is the IATA airport code for Banja Luka International Airport in Bosnia and Herzegovina.
  • D. BNM
    BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
  • E. NBP
    NBP is the commonly used abbreviation for the New Bilibid Prison, the Philippines’ main national penitentiary located in Muntinlupa City.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e690f954819084b81a555f4cdb5e completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a348a748819082f87039ea79f251 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45e81bc8190bf4c47e3bb5fe077 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4f074708190a5ce0a863ffd4f25 completed March 28, 2026, 9:52 a.m.
Created at: March 27, 2026, 2:45 p.m.