Triple

T19462825
Position Surface form Disambiguated ID Type / Status
Subject Nagasaki University E486916 entity
Predicate hasNativeName P1435 FINISHED
Object 長崎大学 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: 長崎大学 | Statement: [Nagasaki University, hasNativeName, 長崎大学]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 長崎大学
Context triple: [Nagasaki University, hasNativeName, 長崎大学]
  • A. Nagasaki University chosen
    Nagasaki University is a national research university in Nagasaki, Japan, known for its programs in medicine, peace studies, and international collaboration.
  • B. Kyushu University
    Kyushu University is a major national research university in Fukuoka, Japan, recognized as one of the country’s leading institutions of higher education and science.
  • C. Kagoshima University
    Kagoshima University is a national Japanese university in Kagoshima Prefecture known for its programs in science, engineering, agriculture, and medicine.
  • D. Kumamoto University
    Kumamoto University is a national research university in Kumamoto, Japan, known for its programs in science, engineering, medicine, and the humanities.
  • E. Hokkaido University
    Hokkaido University is a major national research university in Sapporo, Japan, known for its broad academic offerings, strong science and agriculture programs, and spacious, park-like campus.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633cd6c148190933b4d6bfe84cbe1 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.