Triple

T3714430
Position Surface form Disambiguated ID Type / Status
Subject Bonnievale E81491 entity
Predicate hasNearbyTown P3883 FINISHED
Object Ashton
Ashton is a small town in South Africa’s Western Cape, known for its fruit farming and position along the scenic Route 62.
 E381419 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: Ashton | Statement: [Bonnievale, hasNearbyTown, Ashton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ashton
Context triple: [Bonnievale, hasNearbyTown, Ashton]
  • A. Ashton
    Ashton is a masculine given name of English origin that has become well known through figures such as actor and entrepreneur Ashton Kutcher.
  • B. Ashton
    Ashton is a small village in the town of Cumberland in Providence County, Rhode Island, known for its historic mill district along the Blackstone River.
  • C. Addison
    Addison is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Northwest Side.
  • D. Addison
    Addison is a small, business-focused town in the Dallas–Fort Worth metropolitan area known for its dense concentration of restaurants, corporate offices, and frequent special events.
  • E. Ashton Stevens
    Ashton Stevens was an influential early 20th-century American drama critic known for his incisive theater reviews and support of emerging playwrights.
  • 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: Ashton
Triple: [Bonnievale, hasNearbyTown, Ashton]
Generated description
Ashton is a small town in South Africa’s Western Cape, known for its fruit farming and position along the scenic Route 62.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ashton
Target entity description: Ashton is a small town in South Africa’s Western Cape, known for its fruit farming and position along the scenic Route 62.
  • A. Ashton
    Ashton is a masculine given name of English origin that has become well known through figures such as actor and entrepreneur Ashton Kutcher.
  • B. Ashton
    Ashton is a small village in the town of Cumberland in Providence County, Rhode Island, known for its historic mill district along the Blackstone River.
  • C. Addison
    Addison is a small, business-focused town in the Dallas–Fort Worth metropolitan area known for its dense concentration of restaurants, corporate offices, and frequent special events.
  • D. Addison
    Addison is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Northwest Side.
  • E. Ashton Stevens
    Ashton Stevens was an influential early 20th-century American drama critic known for his incisive theater reviews and support of emerging playwrights.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9ccfad081908730ed15c6f87ce2 completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce0c3320819092ca5dd0694e167f completed March 14, 2026, 2:55 a.m.
NEDg Description generation batch_69b4ceef46cc819096e0d824153d1544 completed March 14, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69b4cf6c4e5c8190bee35fc33d707823 completed March 14, 2026, 3:01 a.m.
Created at: March 8, 2026, 3:33 p.m.