Triple

T6355085
Position Surface form Disambiguated ID Type / Status
Subject State of Lu E142969 entity
Predicate notableResident P1092 FINISHED
Object Zengzi E415237 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: Zengzi | Statement: [State of Lu, notableResident, Zengzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zengzi
Context triple: [State of Lu, notableResident, Zengzi]
  • A. Zengzi chosen
    Zengzi was a prominent disciple of Confucius, renowned for his moral integrity and influential role in the development and transmission of Confucian thought.
  • B. Zigong
    Zigong is a historic industrial city in southern Sichuan, China, best known for its ancient salt industry and renowned dinosaur fossil sites.
  • C. Junzi
    Junzi is a central Confucian ideal of the morally exemplary "gentleman" or noble person who embodies virtue, righteousness, and proper conduct.
  • D. Yan Hui
    Yan Hui was Confucius’s favorite disciple, renowned for his exceptional virtue, humility, and understanding of Confucian teachings.
  • E. Confucius
    Confucius was an ancient Chinese philosopher and teacher whose ethical, social, and political ideas became the foundation of Confucianism and deeply shaped East Asian civilization.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067e22c00819089bc68efb85bc2c8 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d5966a88190a7184157b235b170 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:31 p.m.