Triple

T21183705
Position Surface form Disambiguated ID Type / Status
Subject Lake Talbot E522019 entity
Predicate locatedNear P294 FINISHED
Object Narrandera NE NERFINISHED

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: [Lake Talbot, locatedNear, Narrandera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narrandera
Context triple: [Lake Talbot, locatedNear, 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. Warrego
    Warrego is an electoral district of the Legislative Assembly in the Australian state of Queensland, covering a large rural and outback region in the state's southwest.
  • C. Tarramba
    Tarramba is a rural locality situated within the Banana Shire region of Queensland, Australia.
  • D. Menindee
    Menindee is a small town in western New South Wales, Australia, known for its historic river port heritage and proximity to the Menindee Lakes system.
  • E. Merredin
    Merredin is a rural service town in Western Australia known as a key agricultural and transport hub in the state’s Wheatbelt.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301f7f1c81908686866fdee57127 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:05 p.m.