Triple

T26551429
Position Surface form Disambiguated ID Type / Status
Subject 福岡県太宰府市 E671686 entity
Predicate 主な教育関連施設 P51096 FINISHED
Object 九州情報大学
九州情報大学は、福岡県太宰府市に所在し、情報学や経営情報などを中心に教育・研究を行う私立大学である。
 E1733287 NE FINISHED

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: 九州情報大学 | Statement: [福岡県太宰府市, 主な教育関連施設, 九州情報大学]
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: 九州情報大学
Triple: [福岡県太宰府市, 主な教育関連施設, 九州情報大学]
Generated description
九州情報大学は、福岡県太宰府市に所在し、情報学や経営情報などを中心に教育・研究を行う私立大学である。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 主な教育関連施設
Context triple: [福岡県太宰府市, 主な教育関連施設, 九州情報大学]
  • A. isEducationalCenterOf
    Indicates that an institution functions as the primary educational center serving, representing, or associated with a particular area, organization, or group.
  • B. hasEducationFacilities
    Indicates that an entity possesses or provides educational institutions, services, or infrastructure for learning and training.
  • C. educationFacility
    Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
  • D. hasMajorEducationalInstitutions chosen
    Indicates that the subject possesses or hosts significant higher-level educational organizations or facilities, such as universities or major colleges.
  • E. hasPrimaryEducationFacilityType
    Indicates the type or category of primary education facility associated with an entity.
  • F. None of above.

Provenance (6 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_69eeb32163f08190af5f81282738e27a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f614624c80819084f6febf57f86828 completed May 2, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c81e26288190b027a84873d72943 completed May 23, 2026, 3:30 p.m.
NEDg Description generation batch_6a11e5247fe88190bcd9a7afe016f3a2 completed May 23, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_6a11e5f0744c8190904d781ba9d7e28c completed May 23, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69f602d7b1b0819095ddd3b5169f8ce2 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 1:47 a.m.