Triple

T23056268
Position Surface form Disambiguated ID Type / Status
Subject Western Zhou period E574163 entity
Predicate capital P234 FINISHED
Object Haojing 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: Haojing | Statement: [Western Zhou period, capital, Haojing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haojing
Context triple: [Western Zhou period, capital, Haojing]
  • A. Haojing chosen
    Haojing was the primary western capital city of the early Zhou dynasty in ancient China, located near present-day Xi’an.
  • B. Shangjing
    Shangjing was the principal early capital city of China’s Jurchen-led Jin dynasty, serving as a key political and administrative center in northeastern China.
  • C. Shangjing
    Shangjing was the principal imperial capital city of the Khitan-led Liao dynasty in what is now northeastern China.
  • D. Shangyuan
    Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
  • E. Huisi
    Huisi was an influential Chinese Buddhist monk of the 6th century, renowned as an early patriarch whose teachings helped lay the doctrinal foundations for the Tiantai school.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1868099708190b23725dc8a305e09 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:55 p.m.