Triple

T13503999
Position Surface form Disambiguated ID Type / Status
Subject Hawkesbury–Nepean catchment E320963 entity
Predicate containsTown P847 FINISHED
Object Windsor
Windsor is a historic town in New South Wales, Australia, situated on the Hawkesbury River northwest of Sydney.
 E1030136 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: Windsor | Statement: [Hawkesbury–Nepean catchment, containsTown, Windsor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Windsor
Context triple: [Hawkesbury–Nepean catchment, containsTown, Windsor]
  • A. Windsor
    Windsor is a small town in northern Colorado known for its rapidly growing residential communities and proximity to major Front Range cities like Fort Collins and Greeley.
  • B. Windsor
    Windsor is a historic town in Connecticut recognized as the state's first English settlement and now part of the Hartford metropolitan area.
  • C. Windsor
    Windsor is a village in south-central Wisconsin, United States, located just north of the city of Madison.
  • D. Windsor
    Windsor is a landmark 2013 U.S. Supreme Court case that struck down a key part of the Defense of Marriage Act, advancing federal recognition of same-sex marriages.
  • E. Windsor
    Windsor is a town in Norfolk, England, served by a station on the Sandringham railway line.
  • 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: Windsor
Triple: [Hawkesbury–Nepean catchment, containsTown, Windsor]
Generated description
Windsor is a historic town in New South Wales, Australia, situated on the Hawkesbury River northwest of Sydney.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Windsor
Target entity description: Windsor is a historic town in New South Wales, Australia, situated on the Hawkesbury River northwest of Sydney.
  • A. Windsor chosen
    Windsor is a historic town in New South Wales, Australia, located on the Hawkesbury River and known for its colonial-era architecture and heritage sites.
  • B. Windsor
    Windsor is a historic English town in Berkshire best known for Windsor Castle, one of the official residences of the British monarch and a major royal and military ceremonial site.
  • C. Windsor
    Windsor is a town in Norfolk, England, served by a station on the Sandringham railway line.
  • D. Windsor
    Windsor is a small town in Sonoma County, California, known for its wineries, scenic surroundings, and role as a gateway to the Russian River Valley wine region.
  • E. Windsor
    Windsor is a historic town in Connecticut recognized as the state's first English settlement and now part of the Hartford metropolitan area.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf810e248190a060481004503f96 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9009688190b8f18bb3525c6afd completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75ec5101081909652b0c0998b36c8 completed May 3, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69f75f4a3b0c81908c0ca0351771953b completed May 3, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:43 p.m.