Triple

T5569169
Position Surface form Disambiguated ID Type / Status
Subject Imperial Vietnam E145953 entity
Predicate followedLegalCode P3013 FINISHED
Object Confucian legal code LITERAL 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: Confucian legal code | Statement: [Imperial Vietnam, followedLegalCode, Confucian legal code]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followedLegalCode
Context triple: [Imperial Vietnam, followedLegalCode, Confucian legal code]
  • A. usesLegalCode chosen
    Indicates that one entity applies, references, or operates under a particular legal code in its actions or regulations.
  • B. hasLegalCodeAttributedTo
    Indicates that a legal code or body of laws is attributed or assigned to a particular entity as its source, owner, or governing framework.
  • C. legalCodePromulgatedBy
    Indicates that a specific legal code was formally issued or enacted by a particular authority or governing body.
  • D. legalCodeRecordedIn
    Indicates that a legal code is documented, registered, or officially stored within a particular record, system, or repository.
  • E. notableLegalCode
    Indicates that a legal code is especially significant, influential, or noteworthy in relation to the referenced entity.
  • F. None of above.

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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0203789688190a0bab723186214ad completed March 22, 2026, 5 p.m.
PD Predicate disambiguation batch_69c01b12826c8190969a584d0f53aa44 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:36 p.m.