Triple

T20567200
Position Surface form Disambiguated ID Type / Status
Subject Fa school E504994 entity
Predicate keyText P13682 FINISHED
Object Book of Lord Shang 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: Book of Lord Shang | Statement: [Fa school, keyText, Book of Lord Shang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Book of Lord Shang
Context triple: [Fa school, keyText, Book of Lord Shang]
  • A. Book of Lord Shang chosen
    The Book of Lord Shang is an influential ancient Chinese political treatise that systematizes Legalist doctrines of strict laws, centralized power, and state control to strengthen the ruler’s authority.
  • B. Book of Zhou
    The Book of Zhou is an official Chinese historical text that forms part of the Twenty-Four Histories, documenting the history of the Northern Zhou dynasty.
  • C. Spring and Autumn Annals
    The Spring and Autumn Annals is an ancient Chinese chronicle of the State of Lu that became a foundational Confucian classic, studied for its terse historical records and moral-political interpretations.
  • D. Guoyu
    Guoyu is the official standardized form of the Chinese language used in mainland China and other Chinese-speaking regions.
  • E. Guoyu
    Guoyu is an ancient Chinese historical text that records speeches and events of various states during the Spring and Autumn period.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a33f7c8190966da03528dfe8aa completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.