Triple

T22610979
Position Surface form Disambiguated ID Type / Status
Subject Altay Prefecture E566699 entity
Predicate touristAttraction P530 FINISHED
Object Kanas Lake 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: Kanas Lake | Statement: [Altay Prefecture, touristAttraction, Kanas Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanas Lake
Context triple: [Altay Prefecture, touristAttraction, Kanas Lake]
  • A. Kanas Lake chosen
    Kanas Lake is a scenic alpine lake in northern Xinjiang, China, renowned for its turquoise waters, surrounding forests and mountains, and local legends about mysterious lake creatures.
  • B. Maota Lake
    Maota Lake is a historic artificial lake in Jaipur, India, known for its scenic setting below the Amber Fort and its role as a former water source for the fort complex.
  • C. Đại Lải Lake
    Đại Lải Lake is a popular scenic reservoir and resort area in northern Vietnam known for its tranquil waters, surrounding pine forests, and recreational activities.
  • D. Tanzawa Lake
    Tanzawa Lake is a scenic artificial lake in Japan’s Tanzawa Mountains, popular as a gateway for hiking, fishing, and nature excursions.
  • E. Okabena Lake
    Okabena Lake is a natural freshwater lake in southwestern Minnesota known for recreation and its proximity to the city of Worthington.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167ea291c8190ba73ba678089f75d completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:56 p.m.