Triple

T6253175
Position Surface form Disambiguated ID Type / Status
Subject BN postcode area E140096 entity
Predicate contains P35 FINISHED
Object BN2
BN2 is a UK postal district covering parts of eastern Brighton and nearby areas within the BN (Brighton) postcode region.
E580102 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: BN2 | Statement: [BN postcode area, contains, BN2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BN2
Context triple: [BN postcode area, contains, BN2]
  • A. BN
    BN is the vehicle registration code used on license plates for the German city of Bonn.
  • B. BNC
    BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
  • C. BNC
    BNC is the IATA airport code for Beni Airport in the Democratic Republic of the Congo.
  • D. .bn
    .bn is the country code top-level domain (ccTLD) assigned to Brunei Darussalam for use in its internet addresses.
  • 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.
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: BN2
Triple: [BN postcode area, contains, BN2]
Generated description
BN2 is a UK postal district covering parts of eastern Brighton and nearby areas within the BN (Brighton) postcode region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BN2
Target entity description: BN2 is a UK postal district covering parts of eastern Brighton and nearby areas within the BN (Brighton) postcode region.
  • A. BN
    BN is the vehicle registration code used on license plates for the German city of Bonn.
  • B. BNC
    BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
  • C. BNC
    BNC is the IATA airport code for Beni Airport in the Democratic Republic of the Congo.
  • D. .bn
    .bn is the country code top-level domain (ccTLD) assigned to Brunei Darussalam for use in its internet addresses.
  • 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 (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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063417c8c8190945049881819d307 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2442a556081908b91e7d999a82514 completed March 24, 2026, 7:58 a.m.
NEDg Description generation batch_69c4fb6ab25081909bce29ecee57cb42 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc5c18088190ba2ee0d182d7f3c2 completed March 26, 2026, 9:29 a.m.
Created at: March 22, 2026, 4:24 p.m.