Triple

T448124
Position Surface form Disambiguated ID Type / Status
Subject Murrumbidgee River E7065 entity
Predicate flowsThrough P225 FINISHED
Object Wagga Wagga E20750 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: Wagga Wagga | Statement: [Murrumbidgee River, flowsThrough, Wagga Wagga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wagga Wagga
Context triple: [Murrumbidgee River, flowsThrough, Wagga Wagga]
  • A. Wagga Wagga chosen
    Wagga Wagga is a major regional city in New South Wales, Australia, known as an important agricultural, military, and transport hub in the Riverina region.
  • B. Albury
    Albury is a major regional city in New South Wales, Australia, located on the border with Victoria and known as a key commercial and transport hub of the Murray River region.
  • C. Deniliquin
    Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster festival.
  • D. Junee
    Junee is a historic rural town in the Riverina region of New South Wales, Australia, known for its railway heritage and agricultural surroundings.
  • E. Wollongong
    Wollongong is a coastal city in Australia known for its heavy industry, port facilities, and popular surf beaches along the Illawarra region.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef6429e881908aa758da64299a16 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a447ff88c0819091062bfcdc09f7c1 completed March 1, 2026, 2:06 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.