Triple

T21437434
Position Surface form Disambiguated ID Type / Status
Subject Borough of Bedford E528849 entity
Predicate hasSettlement P1068 FINISHED
Object Oakley
Oakley is a village and civil parish in the Borough of Bedford in Bedfordshire, England.
E1340813 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: Oakley | Statement: [Borough of Bedford, hasSettlement, Oakley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakley
Context triple: [Borough of Bedford, hasSettlement, Oakley]
  • A. Oakley
    Oakley is a city in Contra Costa County, California, located in the eastern San Francisco Bay Area.
  • B. Oakley
    Oakley is a village in the borough of Basingstoke and Deane in Hampshire, England, known for its rural character and residential community.
  • C. Oakley
    Oakley is a surname most notably associated with Violet Oakley, an American artist and pioneering female muralist of the early 20th century.
  • D. Oakley (former)
    Oakley (former) is a sports performance and lifestyle brand best known for its high-tech eyewear, apparel, and accessories popular among professional athletes and outdoor enthusiasts.
  • E. Ray-Ban
    Ray-Ban is a renowned American-Italian eyewear brand best known for its iconic Aviator and Wayfarer sunglasses.
  • 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: Oakley
Triple: [Borough of Bedford, hasSettlement, Oakley]
Generated description
Oakley is a village and civil parish in the Borough of Bedford in Bedfordshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oakley
Target entity description: Oakley is a village and civil parish in the Borough of Bedford in Bedfordshire, England.
  • A. Oakley
    Oakley is a city in Contra Costa County, California, located in the eastern San Francisco Bay Area.
  • B. Oakley
    Oakley is a surname most notably associated with Violet Oakley, an American artist and pioneering female muralist of the early 20th century.
  • C. Oakley chosen
    Oakley is a village in the borough of Basingstoke and Deane in Hampshire, England, known for its rural character and residential community.
  • D. Oakley (former)
    Oakley (former) is a sports performance and lifestyle brand best known for its high-tech eyewear, apparel, and accessories popular among professional athletes and outdoor enthusiasts.
  • E. Ray-Ban
    Ray-Ban is a renowned American-Italian eyewear brand best known for its iconic Aviator and Wayfarer sunglasses.
  • F. None of above.

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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8140a1fc8190bedf297cfc4d4841 completed April 26, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8fd41d08190a28e5efa6880b879 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c97c16c88190ba27f2431fb8d8d3 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca639d74819094f368d15c1e7a1a completed May 17, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:03 p.m.