Triple

T20842165
Position Surface form Disambiguated ID Type / Status
Subject Research England E513127 entity
Predicate shortName P43 FINISHED
Object RE
RE is the commonly used abbreviation for Research England, the UK body responsible for funding and overseeing research and knowledge exchange in higher education institutions in England.
E1454170 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: RE | Statement: [Research England, shortName, RE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RE
Context triple: [Research England, shortName, RE]
  • A. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • B. RE
    RE is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas department and region of Réunion.
  • C. RE
    RE is a centrist, pro-European French political party founded by Emmanuel Macron and formerly known as La République En Marche!.
  • D. RE
    RE is a vehicle registration code used in parts of Austria, including the area around Ehrwald.
  • E. RE
    RE is the commonly used abbreviation for Rugby Europe, the governing body for rugby union in Europe.
  • 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: RE
Triple: [Research England, shortName, RE]
Generated description
RE is the commonly used abbreviation for Research England, the UK body responsible for funding and overseeing research and knowledge exchange in higher education institutions in England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RE
Target entity description: RE is the commonly used abbreviation for Research England, the UK body responsible for funding and overseeing research and knowledge exchange in higher education institutions in England.
  • A. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • B. RE
    RE is the commonly used abbreviation for Rugby Europe, the governing body for rugby union in Europe.
  • C. RE
    RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
  • D. RE
    RE is the vehicle registration code used for the city of Recklinghausen in Germany.
  • E. RE
    RE is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas department and region of Réunion.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34be7a081909c9e98e7f7af7fde completed April 21, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090aff425481908a43921b18319068 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090c0eec0081908fe0f28e69d6d5d7 completed May 17, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_6a090cc818b4819089ed588d3e460aa2 completed May 17, 2026, 12:33 a.m.
Created at: April 16, 2026, 12:43 p.m.