Triple

T900431
Position Surface form Disambiguated ID Type / Status
Subject North York Moors E19433 entity
Predicate containsSettlement P847 FINISHED
Object Danby
Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
 E106908 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: Danby | Statement: [North York Moors, containsSettlement, Danby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Danby
Context triple: [North York Moors, containsSettlement, Danby]
  • A. Danby
    Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
  • B. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • C. Kenmore
    Kenmore is a long-standing American brand of home appliances, particularly known for its refrigerators, washers, dryers, and kitchen equipment sold through major retailers.
  • D. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • E. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • 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: Danby
Triple: [North York Moors, containsSettlement, Danby]
Generated description
Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Danby
Target entity description: Danby is a small rural village in North Yorkshire, England, known for its scenic setting within the North York Moors National Park.
  • A. Danby
    Danby is a small rural town in Tompkins County, New York, known for its scenic landscapes and proximity to the city of Ithaca.
  • B. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • C. Kenmore
    Kenmore is a long-standing American brand of home appliances, particularly known for its refrigerators, washers, dryers, and kitchen equipment sold through major retailers.
  • D. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • E. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad42ecac81909f8bc554d2fe0363 completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c734e680819098840e9c736b5ead completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c8a3064081908772ee2305bbe3e1 completed March 4, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_69a7c8fecaac8190a7b1a1cd2fa98a2d completed March 4, 2026, 5:54 a.m.
Created at: March 1, 2026, 7:39 p.m.