Triple

T4469197
Position Surface form Disambiguated ID Type / Status
Subject Vice Chairman of the People's Republic of China E98452 entity
Predicate roleScope P25607 FINISHED
Object national 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: national | Statement: [Vice Chairman of the People's Republic of China, roleScope, national]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleScope
Context triple: [Vice Chairman of the People's Republic of China, roleScope, national]
  • A. organizationalScope
    Indicates the range or extent of responsibility, authority, or applicability that an action, policy, or relationship has within an organization or its sub-units.
  • B. scopeType chosen
    Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
  • C. participantScope
    Indicates the extent, range, or set of participants that are involved in or affected by a given relationship or action.
  • D. identificationScope
    Indicates the contextual boundary or extent within which an entity is uniquely identified or recognized.
  • E. accessScope
    Indicates the extent or boundaries of access that one entity has to another entity or resource.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fb69a0819099f0005779f4fcac completed March 13, 2026, 12:14 a.m.
PD Predicate disambiguation batch_69b3563bf4f8819081726cde3a34460b completed March 13, 2026, 12:11 a.m.
Created at: March 12, 2026, 11:34 p.m.