Triple

T17445690
Position Surface form Disambiguated ID Type / Status
Subject Tianbao E424775 entity
Predicate follows P134 FINISHED
Object Wuding 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: Wuding | Statement: [Tianbao, follows, Wuding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuding
Context triple: [Tianbao, follows, Wuding]
  • A. Wuding chosen
    Wuding was an era name used during the Northern Qi dynasty in imperial China.
  • B. Wuye
    Wuye is a developing residential and commercial district located within Nigeria’s Federal Capital Territory, Abuja.
  • C. Shangdang
    Shangdang is an ancient historical region in what is now southeastern Shanxi Province, China, known for its strategic importance and role in early Chinese warfare and state formation.
  • D. Hòu Zhōu
    Hòu Zhōu was the Chinese dynasty known in English as the Later Zhou, one of the Five Dynasties that ruled northern China in the 10th century.
  • E. Wuyue
    Wuyue was a prosperous coastal kingdom in southeastern China during the Five Dynasties and Ten Kingdoms period, renowned for its maritime trade, cultural achievements, and extensive water management projects.
  • 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.