Triple

T4125568
Position Surface form Disambiguated ID Type / Status
Subject Waikato River E92715 entity
Predicate sourceLocatedIn P409 FINISHED
Object Lake Taupō E90277 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: Lake Taupō | Statement: [Waikato River, sourceLocatedIn, Lake Taupō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Taupō
Context triple: [Waikato River, sourceLocatedIn, Lake Taupō]
  • A. Lake Taupō chosen
    Lake Taupō is New Zealand’s largest lake, a volcanic caldera renowned for its clear waters, trout fishing, and central location on the North Island.
  • B. Lake Rotorua
    Lake Rotorua is a large volcanic lake in New Zealand’s North Island, renowned for its geothermal activity, Māori cultural significance, and role as a major tourist attraction.
  • C. Lake Wanaka
    Lake Wanaka is a large glacial lake in New Zealand renowned for its dramatic alpine scenery and popularity for outdoor recreation such as hiking, boating, and skiing.
  • D. Taupo
    Taupo is a popular resort town in New Zealand’s central North Island, known for Lake Taupo, geothermal attractions, and outdoor adventure tourism.
  • E. Lake Pukaki
    Lake Pukaki is a large glacial lake in New Zealand famed for its striking turquoise-blue waters and views of Aoraki/Mount Cook.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020a015081909015e6837c4b4a73 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f256abc819086cd464be1a9efbf completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:41 p.m.