Triple

T22855991
Position Surface form Disambiguated ID Type / Status
Subject Jerrabomberra Wetlands E566481 entity
Predicate locatedNear P294 FINISHED
Object Kingston
Kingston is an inner-south suburb of Canberra, Australia, known for its lakeside location, historic industrial precinct, and vibrant dining and arts scene.
E1521028 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: Kingston | Statement: [Jerrabomberra Wetlands, locatedNear, Kingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingston
Context triple: [Jerrabomberra Wetlands, locatedNear, Kingston]
  • A. Kingston
    Kingston is the largest city of Jamaica and its political, cultural, and economic center.
  • B. Kingston
    Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
  • C. Kingston
    Kingston is a coastal town in Plymouth County, Massachusetts, known for its historic New England character and proximity to Cape Cod Bay.
  • D. Kingston
    Kingston is a residential suburb located on Portsea Island in the city of Portsmouth, England.
  • E. Kingston
    Kingston is a town in south-west London, England, known as a major retail and commercial centre on the River Thames.
  • 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: Kingston
Triple: [Jerrabomberra Wetlands, locatedNear, Kingston]
Generated description
Kingston is an inner-south suburb of Canberra, Australia, known for its lakeside location, historic industrial precinct, and vibrant dining and arts scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kingston
Target entity description: Kingston is an inner-south suburb of Canberra, Australia, known for its lakeside location, historic industrial precinct, and vibrant dining and arts scene.
  • A. Kingston chosen
    Kingston is an inner-city suburb of Canberra, Australia, known for its lakeside location, heritage buildings, and vibrant dining and arts precinct.
  • B. Kingston
    Kingston is one of Canberra’s oldest and most vibrant inner-city suburbs, known for its lakeside location, heritage buildings, and bustling café and dining scene.
  • C. Kingston
    Kingston is a residential suburb within Logan City in Queensland, Australia, known for its diverse community and proximity to Brisbane.
  • D. Kingston
    Kingston is an Australian federal electoral division in South Australia that includes suburbs such as Christies Beach.
  • E. Kingston
    Kingston is a small settlement in New Zealand’s South Island, located at the southern end of Lake Wakatipu and known as a gateway to the Queenstown-Lakes district.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ebc6a088190890f2474f18a10eb completed April 29, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae87f2548190b7e226cec45ce06a completed May 19, 2026, 12:27 a.m.
NEDg Description generation batch_6a0bb073073c819086eb73d5dfaf3887 completed May 19, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0bb100b2008190bc741883a9efb2df completed May 19, 2026, 12:38 a.m.
Created at: April 17, 2026, 3:37 p.m.