Triple

T14883542
Position Surface form Disambiguated ID Type / Status
Subject Steve Irwin Way E350059 entity
Predicate givesAccessTo P1985 FINISHED
Object Landsborough E354527 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: Landsborough | Statement: [Steve Irwin Way, givesAccessTo, Landsborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landsborough
Context triple: [Steve Irwin Way, givesAccessTo, Landsborough]
  • A. Landsborough chosen
    Landsborough is a small rural town in Queensland, Australia, serving as a gateway to the Sunshine Coast hinterland and the Glass House Mountains.
  • B. Buckingham
    Buckingham is a historic parliamentary borough in Buckinghamshire, England, that long served as a constituency represented in the British House of Commons.
  • C. Buckingham
    Buckingham is a former municipality in western Quebec, Canada, now part of the city of Gatineau.
  • D. Northbourne
    Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • E. Lansbury
    Lansbury is the surname most famously associated with British-American actress and singer Angela Lansbury, renowned for her work in film, theatre, and television.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f4598081908735e8d7dfce8074 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5af8208190a35451477ea20b03 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:56 a.m.