Triple

T10027883
Position Surface form Disambiguated ID Type / Status
Subject MP5 E204775 entity
Predicate hasCopyOrClone P91777 FINISHED
Object licensed and unlicensed clones produced in multiple countries 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: licensed and unlicensed clones produced in multiple countries | Statement: [MP5, hasCopyOrClone, licensed and unlicensed clones produced in multiple countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCopyOrClone
Context triple: [MP5, hasCopyOrClone, licensed and unlicensed clones produced in multiple countries]
  • A. hasCopy
    Indicates that one entity possesses, contains, or maintains a duplicate or instance of another entity.
  • B. isCopiedBy
    Indicates that an entity serves as the source from which another entity is duplicated or reproduced.
  • C. hasMultipleCreations
    Indicates that an entity is associated with more than one distinct creation or produced work.
  • D. haveApproximateCompleteCopies
    Indicates that one entity possesses nearly full, but not necessarily perfectly exact, copies of another entity.
  • E. haveNotableCopyLocation
    Indicates that an entity has a specific, noteworthy physical or digital location where a copy or instance of it is held or accessible.
  • F. None of above. chosen

Provenance (4 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde51c408190afb34010b1707014 completed April 2, 2026, 2:01 a.m.
PD Predicate disambiguation batch_69cd4b7cd4208190b2253583ee2f892c completed April 1, 2026, 4:44 p.m.
PDg Predicate description generation batch_69cd4f8d9b888190b8067bd916dae773 completed April 1, 2026, 5:02 p.m.
Created at: March 30, 2026, 8:54 p.m.