Triple

T3227949
Position Surface form Disambiguated ID Type / Status
Subject Greater Sydney region E67667 entity
Predicate containsSuburb P21902 FINISHED
Object Bankstown
Bankstown is a major multicultural suburb in south-western Sydney, Australia, known for its diverse community, commercial centre, and transport links.
 E338796 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: Bankstown | Statement: [Greater Sydney region, containsSuburb, Bankstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bankstown
Context triple: [Greater Sydney region, containsSuburb, Bankstown]
  • A. Earlestown
    Earlestown is a town in Merseyside, England, historically known for its railway and industrial heritage.
  • B. Milltown
    Milltown is a small hamlet within the Town of Southeast in Putnam County, New York.
  • C. Moffatdale
    Moffatdale is a scenic valley in southern Scotland known for its rugged landscapes, upland farms, and the course of the Moffat Water running through it.
  • D. Melwood
    Melwood was the long-standing training ground and coaching facility of Liverpool Football Club, renowned as the site where many of the club’s famous teams prepared and trained.
  • E. Shortlands
    Shortlands is a suburban area in the London Borough of Bromley, known for its residential character and commuter links into central London.
  • 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: Bankstown
Triple: [Greater Sydney region, containsSuburb, Bankstown]
Generated description
Bankstown is a major multicultural suburb in south-western Sydney, Australia, known for its diverse community, commercial centre, and transport links.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bankstown
Target entity description: Bankstown is a major multicultural suburb in south-western Sydney, Australia, known for its diverse community, commercial centre, and transport links.
  • A. Earlestown
    Earlestown is a town in Merseyside, England, historically known for its railway and industrial heritage.
  • B. Milltown
    Milltown is a small hamlet within the Town of Southeast in Putnam County, New York.
  • C. Moffatdale
    Moffatdale is a scenic valley in southern Scotland known for its rugged landscapes, upland farms, and the course of the Moffat Water running through it.
  • D. Melwood
    Melwood was the long-standing training ground and coaching facility of Liverpool Football Club, renowned as the site where many of the club’s famous teams prepared and trained.
  • E. Shortlands
    Shortlands is a suburban area in the London Borough of Bromley, known for its residential character and commuter links into central London.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb6f8588190a33a9d6c779e8992 completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262675b588190bcff98e7fa3a0c77 completed March 12, 2026, 6:51 a.m.
NEDg Description generation batch_69b264c6022c81908b3235e88a7ed27f completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b268bd0d3c8190a60dda0a9086c0cc completed March 12, 2026, 7:18 a.m.
Created at: March 8, 2026, 3:08 p.m.