Triple

T645167
Position Surface form Disambiguated ID Type / Status
Subject Hayes, Kent, England E11224 entity
Predicate postalArea P920 FINISHED
Object BR2
BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
 E80632 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: BR2 | Statement: [Hayes, Kent, England, postalArea, BR2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BR2
Context triple: [Hayes, Kent, England, postalArea, BR2]
  • A. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • B. Breg
    Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
  • C. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • D. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • E. BC
    BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest 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: BR2
Triple: [Hayes, Kent, England, postalArea, BR2]
Generated description
BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BR2
Target entity description: BR2 is a UK postcode district covering parts of Hayes and surrounding areas in the London Borough of Bromley in southeast England.
  • A. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • B. Breg
    Breg is a river in Germany’s Black Forest region that forms one of the main headwaters of the Danube.
  • C. BAL
    BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
  • D. BC
    BC is a private Jesuit research university located in Chestnut Hill, Massachusetts, known for its strong liberal arts programs and competitive NCAA Division I athletics.
  • E. BC
    BC is the Canadian province of British Columbia, located on the west coast of Canada with Vancouver as its largest 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f19f9a08190b0bf6e19b32427ff completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57b5825a08190a528cc2034f2892f completed March 2, 2026, 11:58 a.m.
NEDg Description generation batch_69a57dbf6b1c8190981f9d85f721a7db completed March 2, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69a57e2762908190957f71686d107483 completed March 2, 2026, 12:10 p.m.
Created at: March 1, 2026, 7:36 p.m.