Triple

T15470492
Position Surface form Disambiguated ID Type / Status
Subject 7th Parachute Regiment Royal Horse Artillery E372146 entity
Predicate nickname P55 FINISHED
Object 7 Para RHA
7 Para RHA is an airborne artillery regiment of the British Army that provides close fire support to 16 Air Assault Brigade.
 E1159799 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: 7 Para RHA | Statement: [7th Parachute Regiment Royal Horse Artillery, nickname, 7 Para RHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 7 Para RHA
Context triple: [7th Parachute Regiment Royal Horse Artillery, nickname, 7 Para RHA]
  • A. 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.
  • B. R7
    R7 is a commuter rail line within the Rodalies de Catalunya network serving the Barcelona metropolitan area in Catalonia, Spain.
  • C. 7R
    7R is the IATA airline designator assigned to RusLine, a regional airline based in Russia.
  • D. PA-7000
    PA-7000 is a high-performance implementation of Hewlett-Packard's PA-RISC architecture, used in HP's early 1990s enterprise workstations and servers.
  • E. R70
    R70 is a London bus route that provides public transport connections to and from Hampton and surrounding areas.
  • 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: 7 Para RHA
Triple: [7th Parachute Regiment Royal Horse Artillery, nickname, 7 Para RHA]
Generated description
7 Para RHA is an airborne artillery regiment of the British Army that provides close fire support to 16 Air Assault Brigade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 7 Para RHA
Target entity description: 7 Para RHA is an airborne artillery regiment of the British Army that provides close fire support to 16 Air Assault Brigade.
  • A. 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.
  • B. R7
    R7 is a commuter rail line within the Rodalies de Catalunya network serving the Barcelona metropolitan area in Catalonia, Spain.
  • C. 7R
    7R is the IATA airline designator assigned to RusLine, a regional airline based in Russia.
  • D. PA-7000
    PA-7000 is a high-performance implementation of Hewlett-Packard's PA-RISC architecture, used in HP's early 1990s enterprise workstations and servers.
  • E. R70
    R70 is a London bus route that provides public transport connections to and from Hampton and surrounding areas.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6b49788190b270fdfe92646842 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0543f881909dfbbc77f2a96a1a completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff2e7bf8c881909fecb6cf86bc32f2 completed May 9, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_69ff331c267c8190bbc26ddd47273be7 completed May 9, 2026, 1:14 p.m.
Created at: April 10, 2026, 3:33 a.m.