Triple

T3738971
Position Surface form Disambiguated ID Type / Status
Subject Didi Chuxing E79652 entity
Predicate regulatoryStatusInChina P29456 FINISHED
Object subject to cybersecurity and data regulations 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: subject to cybersecurity and data regulations | Statement: [Didi Chuxing, regulatoryStatusInChina, subject to cybersecurity and data regulations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatoryStatusInChina
Context triple: [Didi Chuxing, regulatoryStatusInChina, subject to cybersecurity and data regulations]
  • A. regulationStatus chosen
    Indicates the regulatory condition or compliance state that applies to an entity under relevant rules or laws.
  • B. regulatedIn
    Indicates that one entity’s activity, expression, or occurrence is controlled, influenced, or modulated by another entity within a specific context or system.
  • C. legalStatusInManyCountries
    Indicates that the subject has a particular legal classification or standing that is recognized across numerous countries.
  • D. hasRegulatoryApproval
    Indicates that an entity has received formal authorization or clearance from a relevant regulatory authority to operate, be sold, or be used in a specified context.
  • E. hasRegulations
    Indicates that one entity imposes, contains, or is associated with rules or regulatory requirements that govern the behavior or operation of another 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb404b908190b6b4ee583dee3cc9 completed March 8, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69adc048f28c819092bed16a95a3cac1 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.