Triple

T14615768
Position Surface form Disambiguated ID Type / Status
Subject Tumut 3 Power Station E343080 entity
Predicate nearTown P2064 FINISHED
Object Talbingo E430866 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: Talbingo | Statement: [Tumut 3 Power Station, nearTown, Talbingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talbingo
Context triple: [Tumut 3 Power Station, nearTown, Talbingo]
  • A. Talbingo chosen
    Talbingo is a small town in New South Wales, Australia, located near the Snowy Mountains and associated with the Snowy Mountains Hydro-Electric Scheme.
  • B. Gilgandra
    Gilgandra is a rural town in New South Wales, Australia, known as a service and agricultural centre on the western plains.
  • C. Bundarra
    Bundarra is a small rural town in the New England region of New South Wales, Australia, known for its historic buildings and surrounding agricultural countryside.
  • D. Karumba
    Karumba is a small coastal town and fishing port in Queensland, Australia, known for its prawn and barramundi industries and sunsets over the Gulf of Carpentaria.
  • E. Tumbarumba
    Tumbarumba is a small rural town in the Snowy Mountains region of New South Wales, Australia, known for its timber industry, cool-climate vineyards, and proximity to alpine landscapes.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5e176081909e822881a866ecec completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 1:25 a.m.