Triple

T26551383
Position Surface form Disambiguated ID Type / Status
Subject 天神 E671685 entity
Predicate 主な商業施設 P79077 FINISHED
Object 岩田屋本店
岩田屋本店は、福岡市・天神エリアを代表する老舗百貨店であり、ファッションからグルメまで幅広い高品質な商品とサービスを提供する大型商業施設です。
E1733272 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: 岩田屋本店 | Statement: [天神, 主な商業施設, 岩田屋本店]
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: 岩田屋本店
Triple: [天神, 主な商業施設, 岩田屋本店]
Generated description
岩田屋本店は、福岡市・天神エリアを代表する老舗百貨店であり、ファッションからグルメまで幅広い高品質な商品とサービスを提供する大型商業施設です。
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 主な商業施設
Context triple: [天神, 主な商業施設, 岩田屋本店]
  • A. hasMajorCommercialCentre chosen
    Indicates that a place contains or hosts a primary hub of significant commercial or business activity.
  • B. isMainBuildingOf
    Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
  • C. hasCommercialCenterType
    Indicates that an entity has or is associated with a specific type or category of commercial center (e.g., mall, shopping district, business park).
  • D. majorOutletOf
    Indicates that one entity serves as a primary distribution or sales channel for another entity’s products or services.
  • E. isCommercialFacility
    Indicates that a facility is used primarily for commercial or business-related activities or services.
  • 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_69f621fcea1481909b6f8b3af1ee6820 completed May 2, 2026, 4:10 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_69f620debeb48190b7db395fb86cf8d9 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 1:47 a.m.