Triple

T1121454
Position Surface form Disambiguated ID Type / Status
Subject Lake Burley Griffin E24619 entity
Predicate adjacentTo P224 FINISHED
Object Barton
Barton is an inner suburb of Canberra, Australia, known for housing key government departments and diplomatic missions near the shores of Lake Burley Griffin.
 E129233 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: Barton | Statement: [Lake Burley Griffin, adjacentTo, Barton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barton
Context triple: [Lake Burley Griffin, adjacentTo, Barton]
  • A. Barton
    Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
  • B. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. 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.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • 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: Barton
Triple: [Lake Burley Griffin, adjacentTo, Barton]
Generated description
Barton is an inner suburb of Canberra, Australia, known for housing key government departments and diplomatic missions near the shores of Lake Burley Griffin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barton
Target entity description: Barton is an inner suburb of Canberra, Australia, known for housing key government departments and diplomatic missions near the shores of Lake Burley Griffin.
  • A. Barton
    Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
  • B. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. 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.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbbe58588190a5ef6346e269d5f3 completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac539b6d9881909c3fe5890ae1f889 completed March 7, 2026, 4:34 p.m.
NEDg Description generation batch_69ac554aec048190821801070d1a4852 completed March 7, 2026, 4:41 p.m.
NED2 Entity disambiguation (via description) batch_69ac55afd8c88190b0f2bbafc33ad8b7 completed March 7, 2026, 4:43 p.m.
Created at: March 1, 2026, 7:43 p.m.