Triple

T27835689
Position Surface form Disambiguated ID Type / Status
Subject なんば駅 E703219 entity
Predicate 最寄商業施設 P163963 FINISHED
Object 大阪高島屋
大阪高島屋は、大阪・難波エリアを代表する老舗百貨店で、ファッションから食品まで幅広い商品と飲食店を備えた大型商業施設です。
 E1791481 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: 大阪高島屋 | Statement: [なんば駅, 最寄商業施設, 大阪高島屋]
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: 大阪高島屋
Triple: [なんば駅, 最寄商業施設, 大阪高島屋]
Generated description
大阪高島屋は、大阪・難波エリアを代表する老舗百貨店で、ファッションから食品まで幅広い商品と飲食店を備えた大型商業施設です。
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, 大阪高島屋]
  • A. 最寄商業施設 chosen
    Indicates that one commercial facility is the nearest or most conveniently located to a given reference point or entity.
  • B. 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.
  • C. locationOfShoppingCenter
    Indicates that a specified place is the geographic location where a particular shopping center is situated.
  • D. hasNearbyFacility
    Indicates that one entity is located close to or in the vicinity of a particular facility.
  • E. nearbyUrbanCenter
    Indicates that one location is geographically close to an urban center, such as a city or large town.
  • 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_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f730a0d88190a1347bfdd2837bcf completed May 24, 2026, 1:03 p.m.
NEDg Description generation batch_6a12f7ec5a388190912cedf024233dee completed May 24, 2026, 1:06 p.m.
NED2 Entity disambiguation (via description) batch_6a12fbae881c8190a13234bf6ad26f8f completed May 24, 2026, 1:22 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 5:59 p.m.