Triple

T4650492
Position Surface form Disambiguated ID Type / Status
Subject Smallfield E102281 entity
Predicate hasPostcodeArea P920 FINISHED
Object RH
RH is a postcode area in the United Kingdom covering parts of Surrey and West Sussex, including towns such as Redhill, Crawley, and Horsham.
E457822 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: RH | Statement: [Smallfield, hasPostcodeArea, RH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RH
Context triple: [Smallfield, hasPostcodeArea, RH]
  • A. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • B. RAH
    RAH is the abbreviation for the Real Academia de la Historia, Spain’s national institution dedicated to the research, preservation, and promotion of the country’s historical heritage.
  • C. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • D. RHT
    RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
  • E. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • 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: RH
Triple: [Smallfield, hasPostcodeArea, RH]
Generated description
RH is a postcode area in the United Kingdom covering parts of Surrey and West Sussex, including towns such as Redhill, Crawley, and Horsham.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RH
Target entity description: RH is a postcode area in the United Kingdom covering parts of Surrey and West Sussex, including towns such as Redhill, Crawley, and Horsham.
  • A. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • B. RAH
    RAH is the abbreviation for the Real Academia de la Historia, Spain’s national institution dedicated to the research, preservation, and promotion of the country’s historical heritage.
  • C. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • D. RHT
    RHT is the former stock ticker symbol for Red Hat, a leading open-source software company best known for its enterprise Linux operating system and related technologies.
  • E. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6302078081909451589d39c7b28c completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfae7636881908244b86cba1c66b7 completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfbc12acc8190b8116a6003abb3e3 completed March 21, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc44536c8190a71e52b0690a7570 completed March 21, 2026, 2:02 a.m.
Created at: March 20, 2026, 1:14 p.m.