Triple

T568458
Position Surface form Disambiguated ID Type / Status
Subject Aldermaston Marches E13609 entity
Predicate mainLocation P3231 FINISHED
Object Aldermaston
Aldermaston is an English village in Berkshire best known as the site of major anti-nuclear weapons protests and marches.
E71399 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: Aldermaston | Statement: [Aldermaston Marches, mainLocation, Aldermaston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aldermaston
Context triple: [Aldermaston Marches, mainLocation, Aldermaston]
  • A. Tavistock
    Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
  • B. Addlestone
    Addlestone is a suburban town in southeast England known for its residential character and proximity to London.
  • C. Maidenhead
    Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
  • D. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • E. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • 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: Aldermaston
Triple: [Aldermaston Marches, mainLocation, Aldermaston]
Generated description
Aldermaston is an English village in Berkshire best known as the site of major anti-nuclear weapons protests and marches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aldermaston
Target entity description: Aldermaston is an English village in Berkshire best known as the site of major anti-nuclear weapons protests and marches.
  • A. Tavistock
    Tavistock is a historic market town in Devon, England, known for its medieval abbey remains and association with the Russell family, Dukes of Bedford.
  • B. Addlestone
    Addlestone is a suburban town in southeast England known for its residential character and proximity to London.
  • C. Maidenhead
    Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
  • D. Rushworth
    Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
  • E. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b0406d481908af5fc7bc67103fb completed March 1, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4fc81d6d4819090d91560efaa085d completed March 2, 2026, 2:57 a.m.
NEDg Description generation batch_69a4fd3e91ec819081f8dadcef388ef5 completed March 2, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_69a4fda77c8c8190bdbb6b06a9923f54 completed March 2, 2026, 3:01 a.m.
Created at: March 1, 2026, 7:33 p.m.