Triple

T211804
Position Surface form Disambiguated ID Type / Status
Subject Kirkpatrick E4734 entity
Predicate hasToponymicForm P9174 FINISHED
Object Kirkpatrick-Juxta
Kirkpatrick-Juxta is a place name derived from the settlement of Kirkpatrick, typically referring to a nearby or adjoining locality historically associated with that parish.
E29284 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: Kirkpatrick-Juxta | Statement: [Kirkpatrick, hasToponymicForm, Kirkpatrick-Juxta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirkpatrick-Juxta
Context triple: [Kirkpatrick, hasToponymicForm, Kirkpatrick-Juxta]
  • A. Kirkpatrick-Fleming
    Kirkpatrick-Fleming is a village in Dumfries and Galloway, Scotland, historically associated with the Kirkpatrick family.
  • B. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • C. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • D. Merrifield
    Merrifield is an urbanized community in Fairfax County, Virginia, known for its mixed-use developments and proximity to Washington, D.C.
  • E. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • 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: Kirkpatrick-Juxta
Triple: [Kirkpatrick, hasToponymicForm, Kirkpatrick-Juxta]
Generated description
Kirkpatrick-Juxta is a place name derived from the settlement of Kirkpatrick, typically referring to a nearby or adjoining locality historically associated with that parish.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kirkpatrick-Juxta
Target entity description: Kirkpatrick-Juxta is a place name derived from the settlement of Kirkpatrick, typically referring to a nearby or adjoining locality historically associated with that parish.
  • A. Kirkpatrick-Fleming
    Kirkpatrick-Fleming is a village in Dumfries and Galloway, Scotland, historically associated with the Kirkpatrick family.
  • B. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • C. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • D. Merrifield
    Merrifield is an urbanized community in Fairfax County, Virginia, known for its mixed-use developments and proximity to Washington, D.C.
  • E. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a260c178ac819085eb94ccaf64b780 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35b636810819085f6c4e658ee578a completed Feb. 28, 2026, 9:17 p.m.
NEDg Description generation batch_69a35cd77cf881908bbde3b6bcbd5fa8 completed Feb. 28, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69a35daaf914819096033b4e95fd3317 completed Feb. 28, 2026, 9:27 p.m.
Created at: Feb. 28, 2026, 2:52 a.m.