Triple

T38551817
Position Surface form Disambiguated ID Type / Status
Subject Brainy Smurf E925130 entity
Predicate franchiseOriginCountry P102786 FINISHED
Object Belgium NE NERFINISHED

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: Belgium | Statement: [Brainy Smurf, franchiseOriginCountry, Belgium]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: franchiseOriginCountry
Context triple: [Brainy Smurf, franchiseOriginCountry, Belgium]
  • A. countryOfOriginOfFranchise chosen
    Indicates the country from which a particular franchise originally comes or was first established.
  • B. representsFranchiseOrigin
    Indicates that one entity is the original source or originating work from which the other entity’s franchise is derived.
  • C. countryOfFranchiseManaged
    Indicates the country in which a particular franchise is managed or administered.
  • D. countryOfOrigin
    Indicates the country from which an entity originally comes or was first produced, created, or established.
  • E. laterCountryOfOrigin
    Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
  • 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_69f76eaeb69c8190b367df9330d6f6af completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcec5f8b448190b48330a19b462d24 completed May 7, 2026, 7:47 p.m.
PD Predicate disambiguation batch_69fceaf1e23881908ca24160a638e329 completed May 7, 2026, 7:41 p.m.
Created at: May 3, 2026, 4:32 p.m.