Triple

T11550078
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, Hokkaido University E273866 entity
Predicate abbreviation P43 FINISHED
Object HU Eng
HU Eng is the abbreviated name of the Faculty of Engineering at Hokkaido University, a major Japanese institution known for its engineering education and research.
E932655 NE FINISHED

How this triple was built (4 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: HU Eng | Statement: [Faculty of Engineering, Hokkaido University, abbreviation, HU Eng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HU Eng
Context triple: [Faculty of Engineering, Hokkaido University, abbreviation, HU Eng]
  • A. Hengchi
    Hengchi is an electric vehicle brand developed by the Chinese conglomerate Evergrande Group as part of its push into the new energy automotive industry.
  • B. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • C. Han
    Han refers to the majority ethnic group in China, historically associated with Chinese civilization, language, and culture.
  • D. Han
    Han is a common transliteration of the historical Central Asian title "Khan," often associated with rulers and nobility in various Turkic and Mongolic cultures.
  • E. Hua
    Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HU Eng
Triple: [Faculty of Engineering, Hokkaido University, abbreviation, HU Eng]
Generated description
HU Eng is the abbreviated name of the Faculty of Engineering at Hokkaido University, a major Japanese institution known for its engineering education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HU Eng
Target entity description: HU Eng is the abbreviated name of the Faculty of Engineering at Hokkaido University, a major Japanese institution known for its engineering education and research.
  • A. Hengchi
    Hengchi is an electric vehicle brand developed by the Chinese conglomerate Evergrande Group as part of its push into the new energy automotive industry.
  • B. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • C. Han
    Han refers to the majority ethnic group in China, historically associated with Chinese civilization, language, and culture.
  • D. Han
    Han is a common transliteration of the historical Central Asian title "Khan," often associated with rulers and nobility in various Turkic and Mongolic cultures.
  • E. Hua
    Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
  • F. None of above. chosen

Provenance (5 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a83f1e88190aabf11a4c8a6c9e5 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8396ed081909bdf381db3dacd62 completed April 21, 2026, 3 a.m.
NEDg Description generation batch_69e6ef8fca248190bc2fdd8457258874 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f9144afc819081ee7f78e32ad39a completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.