Triple

T2260825
Position Surface form Disambiguated ID Type / Status
Subject Crowthorne E50034 entity
Predicate postcodeArea P920 FINISHED
Object RG
RG is a postcode area in southern England covering Reading and surrounding towns in Berkshire and parts of neighbouring counties.
 E249231 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: RG | Statement: [Crowthorne, postcodeArea, RG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RG
Context triple: [Crowthorne, postcodeArea, RG]
  • 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. RA
    RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
  • C. RA
    RA is a prestigious post-nominal title indicating membership as a Royal Academician of the Royal Academy of Arts in London.
  • D. RK
    RK is the vehicle registration code used for the town of Ružomberok in northern Slovakia.
  • E. RL
    RL is the commonly used acronym for the U.S. Department of Energy’s Richland Operations Office, which oversees environmental cleanup and related activities at the Hanford Site in Washington State.
  • 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: RG
Triple: [Crowthorne, postcodeArea, RG]
Generated description
RG is a postcode area in southern England covering Reading and surrounding towns in Berkshire and parts of neighbouring counties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RG
Target entity description: RG is a postcode area in southern England covering Reading and surrounding towns in Berkshire and parts of neighbouring counties.
  • 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. RA
    RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
  • C. RA
    RA is a prestigious post-nominal title indicating membership as a Royal Academician of the Royal Academy of Arts in London.
  • D. RK
    RK is the vehicle registration code used for the town of Ružomberok in northern Slovakia.
  • E. RL
    RL is the commonly used acronym for the U.S. Department of Energy’s Richland Operations Office, which oversees environmental cleanup and related activities at the Hanford Site in Washington State.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18aa9d48190893ca32558730e9c completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cb1540819093db7f91ae66c19f completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae72a2b92c8190a7d4ff441f1cb1ce completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae732a7cf08190b119ca7809350269 completed March 9, 2026, 7:13 a.m.
Created at: March 4, 2026, 7:48 p.m.