Triple

T10057373
Position Surface form Disambiguated ID Type / Status
Subject Tang Code E208895 entity
Predicate influencedBy P9 FINISHED
Object Sui Code E838673 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: Sui Code | Statement: [Tang Code, influencedBy, Sui Code]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sui Code
Context triple: [Tang Code, influencedBy, Sui Code]
  • A. Sui Code chosen
    The Sui Code was an early imperial Chinese legal code of the Sui dynasty that laid the foundation for later comprehensive law codes, including the influential Tang Code.
  • B. Yōrō Code
    Yōrō Code was a major 8th-century Japanese ritsuryō legal and administrative code that systematized government structure and social regulations during the Nara period.
  • C. M-Code
    M-Code is an advanced, encrypted military GPS signal designed to provide more secure and jam-resistant positioning and navigation for authorized users.
  • D. Qing Code
    Qing Code was the comprehensive legal code of imperial China under the Qing dynasty, codifying criminal, civil, and administrative laws that governed the empire.
  • E. The Code
    The Code is a film featuring Australian actress Kate Beahan, known for her roles in both Australian cinema and international productions.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfaf7700819084dedf7b63e789c1 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b624191c819093b8392b5573fa96 completed April 5, 2026, 7:21 p.m.
Created at: March 30, 2026, 8:57 p.m.