Triple

T3567026
Position Surface form Disambiguated ID Type / Status
Subject Tantangara Reservoir E75473 entity
Predicate isComponentOf P5722 FINISHED
Object Snowy–Tumut Development E338275 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: Snowy–Tumut Development | Statement: [Tantangara Reservoir, isComponentOf, Snowy–Tumut Development]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snowy–Tumut Development
Context triple: [Tantangara Reservoir, isComponentOf, Snowy–Tumut Development]
  • A. Snowy–Tumut Development chosen
    Snowy–Tumut Development is a major hydroelectric and water diversion component of Australia’s Snowy Hydro Scheme, centered on the Tumut River system.
  • B. Snowy Tundra
    Snowy Tundra is a cold, snow-covered biome in Minecraft characterized by flat, icy terrain, sparse vegetation, and frequent snowfall.
  • C. Rusutsu
    Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • D. Kitami
    Kitami is a city in northeastern Hokkaido, Japan, known for its cold winters, onion production, and proximity to the Okhotsk Sea.
  • E. Nekodake
    Nekodake is one of the volcanic cones forming part of Japan’s active Mount Aso complex on Kyushu.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0aa0fcc8190bc99df68d2bd9139 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbb01d108190bd098c86b0180b78 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.