Triple

T383076
Position Surface form Disambiguated ID Type / Status
Subject King's Lynn and West Norfolk district E8721 entity
Predicate contains P35 FINISHED
Object Elm
Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
 E48867 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: Elm | Statement: [King's Lynn and West Norfolk district, contains, Elm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elm
Context triple: [King's Lynn and West Norfolk district, contains, Elm]
  • A. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • B. Plum
    Plum is the affectionate nickname of P. G. Wodehouse, the celebrated English humorist and creator of the Jeeves and Wooster stories.
  • C. Malus
    Malus is a genus of deciduous trees and shrubs in the rose family best known for cultivated apples and ornamental crabapples.
  • D. Greenleaf
    Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
  • E. Celtis
    Celtis is a genus of deciduous trees commonly known as hackberries, valued for their hardiness and small, berry-like fruits.
  • 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: Elm
Triple: [King's Lynn and West Norfolk district, contains, Elm]
Generated description
Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elm
Target entity description: Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
  • A. Elm
    Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • B. Plum
    Plum is the affectionate nickname of P. G. Wodehouse, the celebrated English humorist and creator of the Jeeves and Wooster stories.
  • C. Malus
    Malus is a genus of deciduous trees and shrubs in the rose family best known for cultivated apples and ornamental crabapples.
  • D. Greenleaf
    Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
  • E. Celtis
    Celtis is a genus of deciduous trees commonly known as hackberries, valued for their hardiness and small, berry-like fruits.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec40ff8c81909306eb2dfe1512af completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fe9418348190a1ffb3fd3e3f8048 completed March 1, 2026, 8:53 a.m.
NEDg Description generation batch_69a3ff68cfc0819082d7f7118c22fc78 completed March 1, 2026, 8:57 a.m.
NED2 Entity disambiguation (via description) batch_69a400449ddc8190b906cf6a3dd4b6f0 completed March 1, 2026, 9 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.