Triple

T17396332
Position Surface form Disambiguated ID Type / Status
Subject Dian Lake E422962 entity
Predicate alsoKnownAs P39 FINISHED
Object Dianchi 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: Dianchi Lake | Statement: [Dian Lake, alsoKnownAs, Dianchi Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dianchi Lake
Context triple: [Dian Lake, alsoKnownAs, Dianchi Lake]
  • A. Erhai Lake
    Erhai Lake is a large, scenic alpine lake in Yunnan Province, China, renowned for its clear waters, surrounding mountains, and cultural significance to the local Bai people.
  • B. Fuxian Lake
    Fuxian Lake is a deep, clear freshwater lake in Yunnan Province, China, renowned for its exceptional water quality and scenic natural surroundings.
  • C. Qilu Lake chosen
    Qilu Lake is a freshwater lake located near the city of Yuxi in Yunnan Province, southwestern China, known for its plateau wetland ecosystem.
  • D. Dongjiang Lake
    Dongjiang Lake is a scenic reservoir and popular tourist destination in Chenzhou, Hunan Province, known for its clear waters, misty landscapes, and surrounding karst mountains.
  • E. Lushui Lake
    Lushui Lake is a scenic freshwater lake and popular leisure destination in Xianning, known for its tranquil waters and surrounding natural landscapes.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43abd9b748190bd55c863276d9e3a completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.