Triple

T6242527
Position Surface form Disambiguated ID Type / Status
Subject Kim Jong Nam E139637 entity
Predicate passport P11208 FINISHED
Object held multiple travel documents under different names 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: held multiple travel documents under different names | Statement: [Kim Jong Nam, passport, held multiple travel documents under different names]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: passport
Context triple: [Kim Jong Nam, passport, held multiple travel documents under different names]
  • A. passType
    Indicates the type or category of a pass that is involved in or assigned within the relationship between entities.
  • B. passportRevokedBy
    Indicates that an authority or entity has officially canceled or withdrawn the validity of a person's passport.
  • C. passes
    Indicates that one entity successfully transfers, hands over, or moves something (such as an object, message, or responsibility) to another entity.
  • D. porte
    Indicates that an entity carries, wears, or bears another entity (such as an object, attribute, or characteristic).
  • E. hasPass chosen
    Indicates that an entity possesses or has been granted a pass, such as a ticket, permit, or authorization to access something.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631933488190838b424ec0fc2155 completed March 22, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69c056037bf88190a0a3fe7429345d0b completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:23 p.m.