Triple

T20972807
Position Surface form Disambiguated ID Type / Status
Subject The Wimmera E516545 entity
Predicate stateElectorate P11212 FINISHED
Object Ripon
Ripon is an electoral district in the state of Victoria, Australia, that encompasses a large rural region including parts of the Wimmera.
E455617 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: Ripon | Statement: [The Wimmera, stateElectorate, Ripon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ripon
Context triple: [The Wimmera, stateElectorate, Ripon]
  • A. Ripon
    Ripon is a small city in California’s Central Valley known for its agricultural roots and tight-knit community.
  • B. Ripon
    Ripon is a historic cathedral city in North Yorkshire, England, known for Ripon Cathedral and its traditional hornblower ceremony.
  • C. City of York
    The City of York is a historic cathedral city in North Yorkshire, England, renowned for its medieval walls, Gothic York Minster, and well-preserved old town.
  • D. Chester
    Chester is a historic walled city in northwest England known for its Roman heritage, medieval architecture, and distinctive two-tiered shopping galleries called the Rows.
  • E. Chester
    Chester is a historic walled city in northwest England, renowned for its well-preserved Roman and medieval architecture.
  • 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: Ripon
Triple: [The Wimmera, stateElectorate, Ripon]
Generated description
Ripon is an electoral district in the state of Victoria, Australia, that encompasses a large rural region including parts of the Wimmera.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ripon
Target entity description: Ripon is an electoral district in the state of Victoria, Australia, that encompasses a large rural region including parts of the Wimmera.
  • A. Ripon
    Ripon is a small city in California’s Central Valley known for its agricultural roots and tight-knit community.
  • B. Ripon chosen
    Ripon is a historic cathedral city in North Yorkshire, England, known for Ripon Cathedral and its traditional hornblower ceremony.
  • C. City of York
    The City of York is a historic cathedral city in North Yorkshire, England, renowned for its medieval walls, Gothic York Minster, and well-preserved old town.
  • D. Chester
    Chester is a historic walled city in northwest England known for its Roman heritage, medieval architecture, and distinctive two-tiered shopping galleries called the Rows.
  • E. Chester
    Chester is a historic walled city in northwest England, renowned for its well-preserved Roman and medieval architecture.
  • F. None of above.

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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba161d88190b8905891f449004e completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fb7f22c81908bef806db262730a completed May 17, 2026, 3:02 a.m.
NEDg Description generation batch_6a0930b6d344819099415b7ca3c4882b completed May 17, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_6a09318d74b88190817113e2df40e3f0 completed May 17, 2026, 3:10 a.m.
Created at: April 16, 2026, 1:45 p.m.