Triple

T12217616
Position Surface form Disambiguated ID Type / Status
Subject Sejong Campus E291126 entity
Predicate name P16 FINISHED
Object Korea University Sejong Campus E57481 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: Korea University Sejong Campus | Statement: [Sejong Campus, name, Korea University Sejong Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korea University Sejong Campus
Context triple: [Sejong Campus, name, Korea University Sejong Campus]
  • A. Sogang University
    Sogang University is a leading private research university in Seoul, South Korea, known for its strong humanities, social sciences, and business programs.
  • B. Korea University chosen
    Korea University is a leading private research university in Seoul, South Korea, renowned for its comprehensive academic programs and status as one of the country’s top institutions.
  • C. Chosun University
    Chosun University is a major private research university in South Korea known for its comprehensive academic programs and regional influence.
  • D. Sungkyul University
    Sungkyul University is a South Korean higher education institution known for producing alumni such as actor Wi Ha-joon.
  • E. Kyung Hee University
    Kyung Hee University is a prestigious private research university in South Korea known for its comprehensive academic programs and influential alumni in politics, culture, and academia.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ccb9c3481908820f7620102e373 completed May 8, 2026, 4:18 p.m.
Created at: April 8, 2026, 9:51 p.m.