Triple

T17802700
Position Surface form Disambiguated ID Type / Status
Subject Harbin Institute of Technology E444473 entity
Predicate nativeName P15 FINISHED
Object 哈尔滨工业大学 — NE NERFINISHED

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: 哈尔滨工业大学 | Statement: [Harbin Institute of Technology, nativeName, 哈尔滨工业大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 哈尔滨工业大学
Context triple: [Harbin Institute of Technology, nativeName, 哈尔滨工业大学]
  • A. 東北大学
    東北大学は、日本の宮城県仙台市に本部を置く、研究力と工学・理学分野で特に高い評価を受ける国立総合大学です。
  • B. Harbin Engineering University
    Harbin Engineering University is a prominent Chinese university known for its strengths in engineering, particularly in shipbuilding, ocean engineering, and nuclear engineering.
  • C. Harbin Institute of Technology chosen
    Harbin Institute of Technology is a leading Chinese research university renowned for its engineering, science, and technology programs and its role in the country's aerospace and defense industries.
  • D. Dalian University of Technology
    Dalian University of Technology is a major national research university in China known for its strong engineering, technology, and applied sciences programs.
  • E. Beijing Institute of Technology
    Beijing Institute of Technology is a leading public research university in Beijing, China, renowned for its strengths in engineering, science, and defense-related technologies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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.