Triple

T2688779
Position Surface form Disambiguated ID Type / Status
Subject Canterbury E57546 entity
Predicate containsTown P847 FINISHED
Object Ashburton
Ashburton is a rural service town in New Zealand’s South Island, located in the Canterbury region and known for its agricultural economy and role as a hub for the surrounding farming district.
E287656 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: Ashburton | Statement: [Canterbury, containsTown, Ashburton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashburton
Context triple: [Canterbury, containsTown, Ashburton]
  • A. Grafton
    Grafton is a regional city in northern New South Wales, Australia, known for its historic architecture and annual Jacaranda Festival.
  • B. Grafton
    Grafton is a small rural village located within the district of West Oxfordshire in England.
  • C. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • D. Marlborough
    Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
  • E. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • 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: Ashburton
Triple: [Canterbury, containsTown, Ashburton]
Generated description
Ashburton is a rural service town in New Zealand’s South Island, located in the Canterbury region and known for its agricultural economy and role as a hub for the surrounding farming district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ashburton
Target entity description: Ashburton is a rural service town in New Zealand’s South Island, located in the Canterbury region and known for its agricultural economy and role as a hub for the surrounding farming district.
  • A. Grafton
    Grafton is a regional city in northern New South Wales, Australia, known for its historic architecture and annual Jacaranda Festival.
  • B. Grafton
    Grafton is a small rural village located within the district of West Oxfordshire in England.
  • C. Marlborough
    Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
  • D. Marlborough
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • E. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9f1ba3081909a349a2f30f8f9c9 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0741bc48190adffe6cfae831e26 completed March 10, 2026, 4:39 a.m.
NEDg Description generation batch_69afa13a81bc819091463e6589e72361 completed March 10, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69afa1ab8da8819090af3ed60b417040 completed March 10, 2026, 4:44 a.m.
Created at: March 6, 2026, 9:54 p.m.