Triple

T10561687
Position Surface form Disambiguated ID Type / Status
Subject RG postcode area E249231 entity
Predicate hasPostcodeDistrict P961 FINISHED
Object RG45
RG45 is a postcode district within the RG (Reading) postcode area in England, covering parts of Crowthorne and the surrounding region in Berkshire.
 E871535 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: RG45 | Statement: [RG postcode area, hasPostcodeDistrict, RG45]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RG45
Context triple: [RG postcode area, hasPostcodeDistrict, RG45]
  • A. RGH
    RGH is the IATA airport code for Balurghat Airport, a regional airport serving the town of Balurghat in West Bengal, India.
  • B. RGK
    RGK is the commonly used abbreviation for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
  • C. RGL
    RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
  • D. R55
    R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
  • E. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • 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: RG45
Triple: [RG postcode area, hasPostcodeDistrict, RG45]
Generated description
RG45 is a postcode district within the RG (Reading) postcode area in England, covering parts of Crowthorne and the surrounding region in Berkshire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RG45
Target entity description: RG45 is a postcode district within the RG (Reading) postcode area in England, covering parts of Crowthorne and the surrounding region in Berkshire.
  • A. RGH
    RGH is the IATA airport code for Balurghat Airport, a regional airport serving the town of Balurghat in West Bengal, India.
  • B. RGK
    RGK is the commonly used abbreviation for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
  • C. RGL
    RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
  • D. R55
    R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
  • E. R5
    R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52720621c8190a1126268ebe57c83 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93491d2408190b5f54afddbb51ec4 completed April 10, 2026, 5:34 p.m.
NEDg Description generation batch_69d939111a648190b6797c4870f61796 completed April 10, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_69d93dd9f8a0819092d647a765d62fcd completed April 10, 2026, 6:13 p.m.
Created at: April 6, 2026, 12:35 p.m.