Triple

T18062889
Position Surface form Disambiguated ID Type / Status
Subject Happy Valley theme park chain E432219 entity
Predicate hasLocation P40 FINISHED
Object Kunming 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: Kunming | Statement: [Happy Valley theme park chain, hasLocation, Kunming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunming
Context triple: [Happy Valley theme park chain, hasLocation, Kunming]
  • A. Yuxi
    Yuxi is a prefecture-level city in central Yunnan Province, China, known for its tobacco production and scenic plateau lake landscapes.
  • B. Kunming, China chosen
    Kunming, China is a major city in southwest China that served as a key World War II air base and supply hub, notably for the American Volunteer Group known as the Flying Tigers.
  • C. Chengdian
    Chengdian is the commonly used short name for the University of Electronic Science and Technology of China, a leading Chinese university renowned for its strengths in electronics, information technology, and engineering.
  • D. Ruili
    Ruili is a border city in southwestern Yunnan, China, known as a key gateway for trade and cultural exchange with Myanmar.
  • E. Lijiang
    Lijiang is a historic city in Yunnan, China, renowned for its well-preserved Old Town, diverse ethnic cultures, and scenic mountain 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce5d2188190ba77d06061d6e77a completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.