Triple

T3581509
Position Surface form Disambiguated ID Type / Status
Subject Nimrod MR2 E75808 entity
Predicate designation P38 FINISHED
Object MR2
MR2 is a variant designation used for the British Royal Air Force’s Nimrod maritime patrol aircraft, indicating its second major production and upgrade version.
 E370449 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: MR2 | Statement: [Nimrod MR2, designation, MR2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MR2
Context triple: [Nimrod MR2, designation, MR2]
  • A. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • B. MR
    MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
  • C. M2
    M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
  • D. M2
    M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
  • E. M2
    M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
  • 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: MR2
Triple: [Nimrod MR2, designation, MR2]
Generated description
MR2 is a variant designation used for the British Royal Air Force’s Nimrod maritime patrol aircraft, indicating its second major production and upgrade version.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MR2
Target entity description: MR2 is a variant designation used for the British Royal Air Force’s Nimrod maritime patrol aircraft, indicating its second major production and upgrade version.
  • A. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • B. MR
    MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
  • C. M2
    M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
  • D. M2
    M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
  • E. M2
    M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc102cb2881908fa4dc1bf6fa5961 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbc95fa881909846a6d53ba6a24e completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bcae84a48190b085f253773cd14f completed March 13, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69b3f90df47c81908855021f68ca7ec8 completed March 13, 2026, 11:46 a.m.
Created at: March 8, 2026, 3:21 p.m.