Triple

T17445633
Position Surface form Disambiguated ID Type / Status
Subject Yecheng E424773 entity
Predicate successorCity P29462 FINISHED
Object Luoyang 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: Luoyang | Statement: [Yecheng, successorCity, Luoyang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luoyang
Context triple: [Yecheng, successorCity, Luoyang]
  • A. Luoyang chosen
    Luoyang is one of China’s oldest and most historically significant cities, renowned as an ancient imperial capital and cultural center along the Yellow River.
  • B. Kaifeng
    Kaifeng is an ancient city in eastern Henan, China, historically significant as a former capital of several Chinese dynasties and a major cultural and economic center.
  • C. Xuchang
    Xuchang is a historically significant city in central China, known as a former capital during the Three Kingdoms period and now an important industrial and transportation hub.
  • D. Zhengzhou
    Zhengzhou is a major city in central China that serves as the capital of Henan Province and an important national transportation and industrial hub.
  • E. Dengfeng
    Dengfeng is a historic city in Henan Province, China, renowned for its ancient religious and cultural sites, including temples and observatories associated with Chinese cosmology and martial arts traditions.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffafec48190b25980318cea353f completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.