Triple

T15383915
Position Surface form Disambiguated ID Type / Status
Subject Wrinkly Kong E367870 entity
Predicate associatedLocation P37 FINISHED
Object Kong Kollege E1153890 NE 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: Kong Kollege | Statement: [Wrinkly Kong, associatedLocation, Kong Kollege]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kong Kollege
Context triple: [Wrinkly Kong, associatedLocation, Kong Kollege]
  • A. Kong Kollege chosen
    Kong Kollege is an in-game school in the Donkey Kong series where players receive advice, save progress, and learn game mechanics under the guidance of Wrinkly Kong.
  • B. Kateri School
    Kateri School is an educational institution serving the community of Kahnawà:ke, a Mohawk territory near Montreal, Canada.
  • C. Bosung College
    Bosung College was a historic private educational institution in Korea that later evolved into the modern Korea University.
  • D. Ola High School
    Ola High School is a public secondary school serving students in the Ola community of Henry County, Georgia.
  • E. Ikalto Academy
    Ikalto Academy was a renowned medieval theological and philosophical school in eastern Georgia, historically associated with the Ikalto Monastery and known as one of the country’s earliest centers of higher learning.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7397188190bde42b897ab4b5b4 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1349bad48190a31c50a0c5104128 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.