Triple

T7947101
Position Surface form Disambiguated ID Type / Status
Subject 双一流 E184523 entity
Predicate 实施方式 P31917 FINISHED
Object 分类建设 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: 分类建设 | Statement: [双一流, 实施方式, 分类建设]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 实施方式
Context triple: [双一流, 实施方式, 分类建设]
  • A. implementationForm chosen
    Indicates the specific manner, format, or method by which something is implemented or realized in practice.
  • B. implementedThrough
    Indicates that something is realized, carried out, or made operational by means of a specified method, mechanism, or intermediary.
  • C. implementsAct
    Indicates that one entity carries out, executes, or puts into effect a specified act, plan, or directive associated with another entity.
  • D. implementationStart
    Indicates the point in time or event at which the implementation of something (such as a plan, system, or project) begins.
  • E. implementedUnder
    Indicates that an action, policy, or process is carried out within the scope, authority, or framework defined by a particular higher-level plan, rule, or governing 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b2abdbc819085ae53826d36af3b completed March 31, 2026, 3:10 a.m.
PD Predicate disambiguation batch_69cae9361bc48190886b7681e563d46b completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:09 p.m.