Triple

T5856088
Position Surface form Disambiguated ID Type / Status
Subject Yarralumla E130154 entity
Predicate nearbySuburb P41355 FINISHED
Object Acton E291574 NE FINISHED

How this triple was built (2 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: Acton | Statement: [Yarralumla, nearbySuburb, Acton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acton
Context triple: [Yarralumla, nearbySuburb, Acton]
  • A. Acton
    Acton is a suburban town in Middlesex County, Massachusetts, known for its residential communities, conservation land, and commuter access to Boston.
  • B. Acton chosen
    Acton is an inner suburb of Canberra, Australia, known for housing major national institutions such as the Australian National University and several key cultural and research facilities.
  • C. Acton
    Acton is a village and civil parish located in the county of Suffolk in eastern England.
  • D. Acton
    Acton is a largely residential and commercial district in the London Borough of Ealing, known for its diverse community and good transport links into central London.
  • E. Acton
    Acton is a small community within the town of Halton Hills in Ontario, Canada, historically known for its leather and tanning industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03555cd6081908b0307decd60d2bc completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124f45d8c8190a757c82abd85c514 completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 3:55 p.m.