Triple

T1979436
Position Surface form Disambiguated ID Type / Status
Subject Team KAIST E42990 entity
Predicate basedAt P40 FINISHED
Object KAIST Daejeon campus E153919 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: KAIST Daejeon campus | Statement: [Team KAIST, basedAt, KAIST Daejeon campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KAIST Daejeon campus
Context triple: [Team KAIST, basedAt, KAIST Daejeon campus]
  • A. KAIST chosen
    KAIST is a leading South Korean research university renowned for its strengths in science, engineering, and technology.
  • B. Chungnam National University
    Chungnam National University is a major national research university in South Korea known for its comprehensive academic programs and strong emphasis on science and technology, located in the city of Daejeon.
  • C. Daegu University
    Daegu University is a South Korean higher education institution known for its comprehensive academic programs and strong emphasis on social welfare and special education.
  • D. Pusan National University
    Pusan National University is a major national research university in South Korea known for its comprehensive academic programs and strong regional influence in the city of Busan.
  • E. Seoul National University
    Seoul National University is South Korea’s premier national research university, renowned for its highly competitive admissions and leading role in the country’s higher education and academic research.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb7c698748190a10da0901952df07 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fda860481909cae9db2dd60aec9 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:36 p.m.