Triple

T244735
Position Surface form Disambiguated ID Type / Status
Subject Pinot Noir E5011 entity
Predicate notableRegion P22 FINISHED
Object Marlborough
Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
 E42883 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: Marlborough | Statement: [Pinot Noir, notableRegion, Marlborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marlborough
Context triple: [Pinot Noir, notableRegion, Marlborough]
  • A. Windsor
    Windsor is the royal house and family name of the reigning British monarchs, adopted in the early 20th century and borne by Queen Elizabeth II and her descendants.
  • B. Windsor
    Windsor is a historic English town in Berkshire best known for Windsor Castle, one of the official residences of the British monarch and a major royal and military ceremonial site.
  • C. Carlisle
    Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
  • D. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • E. Monmouth
    Monmouth is a historic market town in Monmouthshire, Wales, known for its medieval architecture and position near the English border.
  • 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: Marlborough
Triple: [Pinot Noir, notableRegion, Marlborough]
Generated description
Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marlborough
Target entity description: Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • A. Windsor
    Windsor is a historic English town in Berkshire best known for Windsor Castle, one of the official residences of the British monarch and a major royal and military ceremonial site.
  • B. Windsor
    Windsor is the royal house and family name of the reigning British monarchs, adopted in the early 20th century and borne by Queen Elizabeth II and her descendants.
  • C. Carlisle
    Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
  • D. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • E. Monmouth
    Monmouth is a historic market town in Monmouthshire, Wales, known for its medieval architecture and position near the English border.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a260c592cc8190bc642fcd248a1f1b completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3d23c0fd4819092dea53bc8d990ad completed March 1, 2026, 5:44 a.m.
NEDg Description generation batch_69a3d2afcea48190aa767b5dd077f02c completed March 1, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69a3d38f00288190bc43e5de028deed6 completed March 1, 2026, 5:50 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.