Triple

T23454701
Position Surface form Disambiguated ID Type / Status
Subject Yanbian E567885 entity
Predicate hasCity P316 FINISHED
Object Longjing 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: Longjing | Statement: [Yanbian, hasCity, Longjing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longjing
Context triple: [Yanbian, hasCity, Longjing]
  • A. Longjing chosen
    Longjing is a county-level city in northeastern China's Jilin Province, known for its significant ethnic Korean population and cultural ties to the Yanbian Korean Autonomous Prefecture.
  • B. Longjing tea
    Longjing tea is a famous high-quality Chinese green tea, renowned for its flat, jade-green leaves and delicate, nutty flavor, traditionally produced near Hangzhou in Zhejiang province.
  • C. Jinshanling
    Jinshanling is a well-preserved and scenic section of the Great Wall of China in Hebei Province, renowned for its dense concentration of watchtowers and popular hiking routes.
  • D. Ruiru
    Ruiru is a rapidly growing industrial and residential town in central Kenya, located near Nairobi and known for its manufacturing, commercial activity, and expanding urban population.
  • E. Xitang
    Xitang is an ancient water town in eastern China renowned for its well-preserved canals, stone bridges, and traditional architecture.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a695fed08190bfa160e69200546d completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.