Triple

T20588763
Position Surface form Disambiguated ID Type / Status
Subject Pohang E505857 entity
Predicate knownFor P22 FINISHED
Object Pohang University of Science and Technology — NE NERFINISHED

How this triple was built (3 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: Pohang University of Science and Technology | Statement: [Pohang, knownFor, Pohang University of Science and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pohang University of Science and Technology
Context triple: [Pohang, knownFor, Pohang University of Science and Technology]
  • A. Seoul National University of Science and Technology
    Seoul National University of Science and Technology is a leading public university in Seoul, South Korea, specializing in science, engineering, and technology education and research.
  • B. 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.
  • C. Hanyang University
    Hanyang University is a major private research university in Seoul, South Korea, renowned for its engineering, technology, and industry-linked education and innovation.
  • D. 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.
  • E. Korea University College of Engineering
    Korea University College of Engineering is a leading engineering school in South Korea known for its strong research output and comprehensive undergraduate and graduate programs across multiple engineering disciplines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pohang University of Science and Technology
Target entity description: Pohang University of Science and Technology is a leading South Korean research university renowned for its strong programs in science and engineering and its emphasis on cutting-edge research and innovation.
  • A. Seoul National University of Science and Technology
    Seoul National University of Science and Technology is a leading public university in Seoul, South Korea, specializing in science, engineering, and technology education and research.
  • B. 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.
  • C. Hanyang University
    Hanyang University is a major private research university in Seoul, South Korea, renowned for its engineering, technology, and industry-linked education and innovation.
  • D. 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.
  • E. Korea University College of Engineering
    Korea University College of Engineering is a leading engineering school in South Korea known for its strong research output and comprehensive undergraduate and graduate programs across multiple engineering disciplines.
  • F. None of above. chosen

Provenance (2 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a979e4a48190a948165fb0f3b265 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.