Triple

T17802731
Position Surface form Disambiguated ID Type / Status
Subject Harbin Institute of Technology E444473 entity
Predicate hasFaculty P141 FINISHED
Object School of Science — 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: School of Science | Statement: [Harbin Institute of Technology, hasFaculty, School of Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: School of Science
Context triple: [Harbin Institute of Technology, hasFaculty, School of Science]
  • A. School of Science
    The School of Science is a core academic division of the Hong Kong University of Science and Technology, offering research and education in fundamental scientific disciplines such as physics, chemistry, life science, and mathematics.
  • B. School of Science
    The School of Science at Siena College is an academic division that offers undergraduate programs and research opportunities in scientific disciplines such as biology, chemistry, physics, and related fields.
  • C. School of Science
    The School of Science at Monmouth University is an academic division that offers undergraduate and graduate programs in scientific disciplines such as biology, chemistry, mathematics, and related fields.
  • D. School of Science
    The School of Science is a faculty within Birkbeck, University of London that oversees its science-related teaching and research disciplines.
  • E. School of Science
    The School of Science at the Tokyo Institute of Technology is a core academic division dedicated to advanced education and research in fundamental scientific disciplines such as physics, chemistry, mathematics, and related fields.
  • 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: School of Science
Target entity description: The School of Science at Harbin Institute of Technology is an academic division that focuses on fundamental scientific disciplines such as mathematics, physics, and related fields, supporting both foundational research and education within the university.
  • A. School of Science
    The School of Science at the Tokyo Institute of Technology is a core academic division dedicated to advanced education and research in fundamental scientific disciplines such as physics, chemistry, mathematics, and related fields.
  • B. School of Science
    The School of Science is a core academic division of the Hong Kong University of Science and Technology, offering research and education in fundamental scientific disciplines such as physics, chemistry, life science, and mathematics.
  • C. School of Science
    The School of Science at Tianjin University is an academic division that focuses on fundamental scientific disciplines such as mathematics, physics, and related fields, supporting both research and undergraduate/graduate education.
  • D. School of Science
    The School of Science is an academic unit of Wuhan University of Technology that focuses on foundational disciplines such as mathematics, physics, and related scientific fields.
  • E. School of Science
    The School of Science is a faculty of Tallinn University of Technology that focuses on fundamental and applied scientific disciplines such as mathematics, natural sciences, and related fields.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4880171608190be2088c7a387bfb7 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.