Triple

T7446268
Position Surface form Disambiguated ID Type / Status
Subject Baotou E171888 entity
Predicate pinyinName P9333 FINISHED
Object Bāotóu E171888 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: Bāotóu | Statement: [Baotou, pinyinName, Bāotóu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bāotóu
Context triple: [Baotou, pinyinName, Bāotóu]
  • A. Baotou chosen
    Baotou is a major industrial city in Inner Mongolia, China, known especially for its steel production and nearby rare earth mineral processing.
  • B. Baoding
    Baoding is a historic prefecture-level city in central Hebei Province, China, known as a regional transportation hub and former military and administrative center.
  • C. Tiāntán
    Tiāntán is the Chinese pinyin name for the Temple of Heaven, a historic imperial religious complex in Beijing where Ming and Qing dynasty emperors performed annual ceremonies to pray for good harvests.
  • D. Chengde
    Chengde is a historic city in northeastern China best known for its Qing dynasty Mountain Resort, a vast imperial summer retreat and UNESCO World Heritage Site.
  • E. Lingang
    Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f371be2081908feaeb9392cb65fe completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c57e1d0819081562638236debce completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:14 p.m.