Triple

T27835687
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CITY
なんばCITYは、大阪・難波エリアに位置し、多彩なファッションやグルメ、雑貨店が集まる大型ショッピングモールです。
 E1798531 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CITY | Statement: [なんば駅, 最寄商業施設, なんばCITY]
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CITY
Triple: [なんば駅, 最寄商業施設, なんばCITY]
Generated description
なんばCITYは、大阪・難波エリアに位置し、多彩なファッションやグルメ、雑貨店が集まる大型ショッピングモールです。
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CITY]
  • A. 最寄娯楽施設
    Indicates that one entity is the nearest entertainment facility (such as a theater, arcade, or amusement venue) relative to another entity or location.
  • B. locationOfShoppingCenter
    Indicates that a specified place is the geographic location where a particular shopping center is situated.
  • C. hasNearbyFacility chosen
    Indicates that one entity is located close to or in the vicinity of a particular facility.
  • D. nearbyUrbanCenter
    Indicates that one location is geographically close to an urban center, such as a city or large town.
  • E. hasConvenienceStore
    Indicates that one entity possesses, contains, or is associated with a convenience store.
  • 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_69f63b317e048190963989b732b25b91 completed May 2, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b87c46788190ad9d659ad8d18def completed May 26, 2026, 3:13 p.m.
NEDg Description generation batch_6a15b9ad99608190b443328957d10875 completed May 26, 2026, 3:18 p.m.
NED2 Entity disambiguation (via description) batch_6a15ba8179108190b060c242c29f34bc completed May 26, 2026, 3:21 p.m.
PD Predicate disambiguation batch_69f6370ea79c81909b761821ee0fa698 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 5:59 p.m.