Triple

T116112
Position Surface form Disambiguated ID Type / Status
Subject Riverina E2341 entity
Predicate hasTown P847 FINISHED
Object Griffith
Griffith is a major regional city in New South Wales, Australia, known for its agricultural production, especially wine and citrus, and its culturally diverse community.
 E25800 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: Griffith | Statement: [Riverina, hasTown, Griffith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Griffith
Context triple: [Riverina, hasTown, Griffith]
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • E. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • 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: Griffith
Triple: [Riverina, hasTown, Griffith]
Generated description
Griffith is a major regional city in New South Wales, Australia, known for its agricultural production, especially wine and citrus, and its culturally diverse community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Griffith
Target entity description: Griffith is a major regional city in New South Wales, Australia, known for its agricultural production, especially wine and citrus, and its culturally diverse community.
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • E. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a256f1278881909dc9c17113d2cca2 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3232bf59c8190a8f2478c85b92ac8 completed Feb. 28, 2026, 5:17 p.m.
NEDg Description generation batch_69a3271618c081908637a41e2ab1c29b completed Feb. 28, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69a32776c1808190a7c50b9888d4aec5 completed Feb. 28, 2026, 5:35 p.m.
Created at: Feb. 28, 2026, 2:24 a.m.