Triple

T4036829
Position Surface form Disambiguated ID Type / Status
Subject Pages River E83846 entity
Predicate flowsThrough P225 FINISHED
Object Murrurundi E71310 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: Murrurundi | Statement: [Pages River, flowsThrough, Murrurundi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murrurundi
Context triple: [Pages River, flowsThrough, Murrurundi]
  • A. Murrurundi chosen
    Murrurundi is a small rural town in New South Wales, Australia, known for its scenic setting in the Upper Hunter region and its historic buildings.
  • B. Kunanyi
    Kunanyi is the Indigenous Palawa name for the prominent mountain that overlooks Hobart in Tasmania, Australia.
  • C. Woorabinda
    Woorabinda is a small Aboriginal community and local government area in central Queensland, Australia, known for its strong Indigenous cultural heritage and history as a former mission settlement.
  • D. Mudjimba
    Mudjimba is a coastal suburb on Queensland’s Sunshine Coast in Australia, known for its beaches and relaxed seaside atmosphere.
  • E. Merimbula
    Merimbula is a coastal town in New South Wales, Australia, known for its beaches, lakes, and role as a popular holiday destination on the Sapphire Coast.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb349e648190b9f227df4cd76fa0 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589ccd0a48190b98dbe7268df678f completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:36 p.m.