Triple

T7430094
Position Surface form Disambiguated ID Type / Status
Subject Saltwell E171465 entity
Predicate predecessor P97 FINISHED
Object Bonnell
Bonnell is a former parliamentary constituency in the United Kingdom that was represented in the House of Commons before being succeeded by the Saltwell constituency.
 E662913 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: Bonnell | Statement: [Saltwell, predecessor, Bonnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonnell
Context triple: [Saltwell, predecessor, Bonnell]
  • A. Bonnell
    Bonnell is the microarchitecture that underpinned Intel's first-generation Atom processors, designed for low-power, energy-efficient computing in mobile and embedded devices.
  • B. Michell
    Michell is a given name and surname that functions as a variant spelling of Mitchell.
  • C. Bonnett
    Bonnett is a surname most notably associated with American NASCAR driver Neil Bonnett.
  • D. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • E. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • 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: Bonnell
Triple: [Saltwell, predecessor, Bonnell]
Generated description
Bonnell is a former parliamentary constituency in the United Kingdom that was represented in the House of Commons before being succeeded by the Saltwell constituency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bonnell
Target entity description: Bonnell is a former parliamentary constituency in the United Kingdom that was represented in the House of Commons before being succeeded by the Saltwell constituency.
  • A. Bonnell
    Bonnell is the microarchitecture that underpinned Intel's first-generation Atom processors, designed for low-power, energy-efficient computing in mobile and embedded devices.
  • B. Michell
    Michell is a given name and surname that functions as a variant spelling of Mitchell.
  • C. Bonnett
    Bonnett is a surname most notably associated with American NASCAR driver Neil Bonnett.
  • D. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • E. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f32324c481908c9ba594e8456728 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f135a348190ae9edc02a19b2278 completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c81fffd8c0819080baa0bce5351111 completed March 28, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69c820a90ae08190b7872bc44085f4a3 completed March 28, 2026, 6:40 p.m.
Created at: March 27, 2026, 3:12 p.m.