Triple

T20455780
Position Surface form Disambiguated ID Type / Status
Subject Elvaston E501778 entity
Predicate hasSubsettlement P74360 FINISHED
Object Thulston
Thulston is a small settlement within the civil parish of Elvaston in Derbyshire, England.
E1432423 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: Thulston | Statement: [Elvaston, hasSubsettlement, Thulston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thulston
Context triple: [Elvaston, hasSubsettlement, Thulston]
  • A. Vanderhoof
    Vanderhoof is a small rural town in central British Columbia, Canada, known for its forestry, agriculture, and outdoor recreation.
  • B. Nylund
    Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
  • C. Drieborg
    Drieborg is a small village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • D. Sylte
    Sylte is a small village in the former Fræna municipality in Møre og Romsdal county, Norway.
  • E. Thorsen
    Thorsen is a Norwegian surname borne by various notable individuals, including architect Kjetil Trædal Thorsen.
  • 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: Thulston
Triple: [Elvaston, hasSubsettlement, Thulston]
Generated description
Thulston is a small settlement within the civil parish of Elvaston in Derbyshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thulston
Target entity description: Thulston is a small settlement within the civil parish of Elvaston in Derbyshire, England.
  • A. Vanderhoof
    Vanderhoof is a small rural town in central British Columbia, Canada, known for its forestry, agriculture, and outdoor recreation.
  • B. Nylund
    Nylund is a Scandinavian-origin surname most widely recognized through the fictional character Rose Nylund from the television series "The Golden Girls."
  • C. Drieborg
    Drieborg is a small village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • D. Sylte
    Sylte is a small village in the former Fræna municipality in Møre og Romsdal county, Norway.
  • E. Thorsen
    Thorsen is a Norwegian surname borne by various notable individuals, including architect Kjetil Trædal Thorsen.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a0dd188190ab6cbb387d9c0c1d completed April 20, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b0e1d308190abb75555b9d20fd7 completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088be79cd0819092da701d6d3d2a8a completed May 16, 2026, 3:23 p.m.
NED2 Entity disambiguation (via description) batch_6a088c7e46e48190b890f319ba4f2492 completed May 16, 2026, 3:25 p.m.
Created at: April 16, 2026, 11:32 a.m.