Triple

T14146156
Position Surface form Disambiguated ID Type / Status
Subject Tarago E350554 entity
Predicate isNear P350 FINISHED
Object Bungendore E350553 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: Bungendore | Statement: [Tarago, isNear, Bungendore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bungendore
Context triple: [Tarago, isNear, Bungendore]
  • A. Bungendore chosen
    Bungendore is a small historic town in New South Wales, Australia, known as a rural service and commuter hub near Canberra.
  • B. Berridale
    Berridale is a small town in the Snowy Mountains region of New South Wales, Australia, known as a gateway to nearby ski fields and alpine attractions.
  • C. Reids Flat
    Reids Flat is a small rural locality in New South Wales, Australia, situated in a farming region along the Lachlan River.
  • D. Belmead
    Belmead is a historic Gothic Revival mansion in Virginia designed by prominent 19th-century American architect Alexander Jackson Davis.
  • E. Kandos
    Kandos is a small town in New South Wales, Australia, historically known for its cement industry and its location near the Capertee Valley and Wollemi National Park.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de612266248190a8591b646fe30ae6 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15cbbb0819099b84032d65cfdb0 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 12:54 a.m.