Triple

T27835686
Position Surface form Disambiguated ID Type / Status
Subject なんば駅 E703219 entity
Predicate 最寄商業施設 P5648 FINISHED
Object なんばパークス
なんばパークスは、大阪・難波エリアにある緑豊かな屋上庭園と多彩なショップや飲食店、シネマコンプレックスなどを備えた大型複合商業施設です。
 E1797828 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: なんばパークス | Statement: [なんば駅, 最寄商業施設, なんばパークス]
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: なんばパークス
Triple: [なんば駅, 最寄商業施設, なんばパークス]
Generated description
なんばパークスは、大阪・難波エリアにある緑豊かな屋上庭園と多彩なショップや飲食店、シネマコンプレックスなどを備えた大型複合商業施設です。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 最寄商業施設
Context triple: [なんば駅, 最寄商業施設, なんばパークス]
  • A. locationOfShoppingCenter
    Indicates that a specified place is the geographic location where a particular shopping center is situated.
  • B. hasNearbyFacility chosen
    Indicates that one entity is located close to or in the vicinity of a particular facility.
  • C. nearbyUrbanCenter
    Indicates that one location is geographically close to an urban center, such as a city or large town.
  • D. hasConvenienceStore
    Indicates that one entity possesses, contains, or is associated with a convenience store.
  • E. shoppingCenterInstanceOf
    Indicates that a specific shopping center is an instance of a particular type or class of shopping centers.
  • 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_69ef840b94b08190950a4f77296938b2 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13114184048190af41e647599dd9a0 completed May 24, 2026, 2:54 p.m.
NEDg Description generation batch_6a1312211af88190ab84fc43b748a93e completed May 24, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a13148cc15c8190928bfe77917e4176 completed May 24, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69f6318ae6f08190b3f85f9201046a15 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 5:59 p.m.