Triple

T22214388
Position Surface form Disambiguated ID Type / Status
Subject Piliyandala E549036 entity
Predicate hasFacility P105 FINISHED
Object Banks NE NERFINISHED

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: Banks | Statement: [Piliyandala, hasFacility, Banks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banks
Context triple: [Piliyandala, hasFacility, Banks]
  • A. Banks
    Banks is a small village in Lancashire, England, known for its rural character and proximity to the town of Tarleton.
  • B. Banks
    Banks is a common English surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • C. Banks
    Banks is an Australian federal electoral division in New South Wales that includes suburbs such as Hurstville in Sydney’s south.
  • D. Banks chosen
    Banks are financial institutions that accept deposits, provide loans, and offer a range of financial services to individuals, businesses, and governments, playing a central role in the global economy and financial system.
  • E. Banks
    Banks is a residential suburb in the Tuggeranong district of Canberra, Australian Capital Territory.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8b13f8819099ed8bebbfea3bc8 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.