Triple

T18250955
Position Surface form Disambiguated ID Type / Status
Subject Royal Radar Establishment E437088 entity
Predicate hasAbbreviation P43 FINISHED
Object RRE
RRE was a British government research organization focused on radar and related electronic technologies, playing a key role in post-war defense and communications development.
E1314617 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: RRE | Statement: [Royal Radar Establishment, hasAbbreviation, RRE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RRE
Context triple: [Royal Radar Establishment, hasAbbreviation, RRE]
  • A. RRL
    RRL is a Ralph Lauren sub-brand inspired by vintage Americana and rugged workwear, offering heritage-style clothing and accessories with a focus on craftsmanship and authenticity.
  • B. RRA
    RRA is an acronym for the Rahanweyn Resistance Army, a Somali militia group that played a significant role in the country’s civil conflict.
  • C. TRR
    TRR is the stock ticker symbol for Terra Networks, a Spanish internet and telecommunications company best known for its web portals and online services.
  • D. TRR
    TRR is the IATA airport code for Trincomalee Airport in Sri Lanka.
  • E. R.E.
    R.E. is the post-nominal abbreviation used by members of Denmark’s highest chivalric distinction, the Order of the Elephant.
  • 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: RRE
Triple: [Royal Radar Establishment, hasAbbreviation, RRE]
Generated description
RRE was a British government research organization focused on radar and related electronic technologies, playing a key role in post-war defense and communications development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RRE
Target entity description: RRE was a British government research organization focused on radar and related electronic technologies, playing a key role in post-war defense and communications development.
  • A. RRL
    RRL is a Ralph Lauren sub-brand inspired by vintage Americana and rugged workwear, offering heritage-style clothing and accessories with a focus on craftsmanship and authenticity.
  • B. RRA
    RRA is an acronym for the Rahanweyn Resistance Army, a Somali militia group that played a significant role in the country’s civil conflict.
  • C. TRR
    TRR is the stock ticker symbol for Terra Networks, a Spanish internet and telecommunications company best known for its web portals and online services.
  • D. TRR
    TRR is the IATA airport code for Trincomalee Airport in Sri Lanka.
  • E. R.E.
    R.E. is the post-nominal abbreviation used by members of Denmark’s highest chivalric distinction, the Order of the Elephant.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8124648190ae7fc9f1fc5cf9bd completed April 19, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac77ae948190bddece9dbc21fd47 completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad91e258819093a80d78da6d6995 completed May 12, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_6a03b032ab20819098391050267af59b completed May 12, 2026, 10:56 p.m.
Created at: April 10, 2026, 10:33 a.m.