Triple

T19674883
Position Surface form Disambiguated ID Type / Status
Subject Salt Ash E472426 entity
Predicate isNear P350 FINISHED
Object Williamtown 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: Williamtown | Statement: [Salt Ash, isNear, Williamtown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williamtown
Context triple: [Salt Ash, isNear, Williamtown]
  • A. Williamtown chosen
    Williamtown is a locality in New South Wales, Australia, best known for hosting Newcastle Airport and the RAAF Base Williamtown military air base.
  • B. Reynella
    Reynella is a suburban locality in Adelaide, South Australia, known for its residential character and historical association with the region’s early wine industry.
  • C. Maryborough
    Maryborough is a historic city in Queensland, Australia, known for its heritage architecture and role as a regional service and transport hub.
  • D. Springston
    Springston is a small rural township in New Zealand’s Canterbury region, located within the Selwyn District near Christchurch.
  • E. Narooma
    Narooma is a coastal town in New South Wales, Australia, known for its scenic beaches, fishing, and proximity to Montague Island.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bb2b7c8190b2badf12ce2caa52 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.