Triple

T5380937
Position Surface form Disambiguated ID Type / Status
Subject City of Wagga Wagga Council E113079 entity
Predicate seat P75 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: [City of Wagga Wagga Council, seat, Wagga Wagga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wagga Wagga
Context triple: [City of Wagga Wagga Council, seat, 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. Katoomba
    Katoomba is a popular town in New South Wales, Australia, known as the main tourist hub of the Blue Mountains with attractions like the Three Sisters rock formation and scenic bushwalking trails.
  • C. Albury
    Albury is a small rural village and civil parish in Hertfordshire, England, known for its historic church and countryside setting.
  • D. 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.
  • E. Deniliquin
    Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster festival.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86cfe7fc8190bb73c60cae7c927d completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf335661c8819091058a5275b95284 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:03 p.m.