Triple

T3375522
Position Surface form Disambiguated ID Type / Status
Subject New England Highway E71057 entity
Predicate passesThrough P225 FINISHED
Object Tenterfield, New South Wales E73709 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: Tenterfield, New South Wales | Statement: [New England Highway, passesThrough, Tenterfield, New South Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tenterfield, New South Wales
Context triple: [New England Highway, passesThrough, Tenterfield, New South Wales]
  • A. Tenterfield chosen
    Tenterfield is a historic rural town in New South Wales, Australia, known for its heritage architecture and role in Australian federation history.
  • B. Glen Innes
    Glen Innes is a prominent rural service and commercial centre in the Northern Tablelands region of New South Wales, Australia, known for its Celtic heritage and cool highland climate.
  • C. Inverell
    Inverell is a rural town in northern New South Wales, Australia, known for its sapphire mining and agricultural production.
  • D. Yass
    Yass is a historic town in New South Wales, Australia, known as a regional service centre in the Southern Tablelands.
  • E. Gunnedah
    Gunnedah is a regional town in north-western New South Wales, Australia, known for its rich agricultural production and coal mining 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e5fc6c81909ff582611751096d completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bbfaf3081908babba216c7da776 completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:13 p.m.