Triple

T6508687
Position Surface form Disambiguated ID Type / Status
Subject Expo Science Park E150073 entity
Predicate near P350 FINISHED
Object KAIST 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 | Statement: [Expo Science Park, near, KAIST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KAIST
Context triple: [Expo Science Park, near, KAIST]
  • A. KAIST chosen
    KAIST is a leading South Korean research university renowned for its strengths in science, engineering, and technology.
  • B. UNIST
    UNIST is a leading South Korean science and technology research university located in Ulsan, known for its strong emphasis on engineering, innovation, and interdisciplinary research.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f386aa08190bfc8592a92ec6339 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb5782fc8190a56b714bbc007490 completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:43 p.m.