Triple

T556965
Position Surface form Disambiguated ID Type / Status
Subject Division of Riverina E11962 entity
Predicate includesTown P847 FINISHED
Object Narrandera E59545 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: Narrandera | Statement: [Division of Riverina, includesTown, Narrandera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narrandera
Context triple: [Division of Riverina, includesTown, Narrandera]
  • A. Narrandera chosen
    Narrandera is a rural town in the Riverina region of New South Wales, Australia, known for its agricultural production and historic riverside setting.
  • B. Jindabyne
    Jindabyne is a town in New South Wales, Australia, known as a major gateway to the Snowy Mountains ski fields and Kosciuszko National Park.
  • C. Dungog
    Dungog is a small rural town in New South Wales, Australia, known for its historic architecture, dairy farming, and proximity to the Barrington Tops National Park.
  • D. Wyong
    Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
  • E. Walcha
    Walcha is a rural town in New South Wales, Australia, known for its pastoral farming, cool climate, and location on the Northern Tablelands near the Great Dividing Range.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d28af148190acad3cfb809ff2f2 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51f31b5a88190b39b678229ce83a3 completed March 2, 2026, 5:25 a.m.
Created at: March 1, 2026, 7:32 p.m.