Triple

T23216913
Position Surface form Disambiguated ID Type / Status
Subject 神戸市 E580770 entity
Predicate hasWard P14475 FINISHED
Object 兵庫区
兵庫区 is one of the central wards of Kobe in Hyōgo Prefecture, known for its historic port-area neighborhoods and mix of industrial and residential districts.
E1573192 NE FINISHED

How this triple was built (4 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: 兵庫区 | Statement: [神戸市, hasWard, 兵庫区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 兵庫区
Context triple: [神戸市, hasWard, 兵庫区]
  • A. Chuo-ku, Kobe
    Chuo-ku, Kobe is the central ward of Kobe, Japan, known as the city’s main commercial, administrative, and entertainment district.
  • B. Higashinada-ku, Kobe
    Higashinada-ku, Kobe is a coastal ward in eastern Kobe, Japan, known for its residential districts, sake breweries, and man-made islands such as Rokkō Island.
  • C. Tarumi-ku, Kobe
    Tarumi-ku, Kobe is a coastal ward in western Kobe, Japan, known for its residential areas, seaside views, and the Akashi Kaikyō Bridge.
  • D. 兵庫県
    兵庫県は近畿地方に位置し、日本海から瀬戸内海、日本海側の山岳地帯や都市部の神戸・姫路など多様な地形と産業を持つ日本の県である。
  • E. Kita-ku, Kobe
    Kita-ku, Kobe is the largest and northernmost ward of Kobe, Japan, known for its mountainous terrain, hot springs, and more rural, spacious character compared to the city’s urban center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: 兵庫区
Triple: [神戸市, hasWard, 兵庫区]
Generated description
兵庫区 is one of the central wards of Kobe in Hyōgo Prefecture, known for its historic port-area neighborhoods and mix of industrial and residential districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 兵庫区
Target entity description: 兵庫区 is one of the central wards of Kobe in Hyōgo Prefecture, known for its historic port-area neighborhoods and mix of industrial and residential districts.
  • A. Chuo-ku, Kobe
    Chuo-ku, Kobe is the central ward of Kobe, Japan, known as the city’s main commercial, administrative, and entertainment district.
  • B. Higashinada-ku, Kobe
    Higashinada-ku, Kobe is a coastal ward in eastern Kobe, Japan, known for its residential districts, sake breweries, and man-made islands such as Rokkō Island.
  • C. Tarumi-ku, Kobe
    Tarumi-ku, Kobe is a coastal ward in western Kobe, Japan, known for its residential areas, seaside views, and the Akashi Kaikyō Bridge.
  • D. 兵庫県
    兵庫県は近畿地方に位置し、日本海から瀬戸内海、日本海側の山岳地帯や都市部の神戸・姫路など多様な地形と産業を持つ日本の県である。
  • E. Kita-ku, Kobe
    Kita-ku, Kobe is the largest and northernmost ward of Kobe, Japan, known for its mountainous terrain, hot springs, and more rural, spacious character compared to the city’s urban center.
  • F. None of above. chosen

Provenance (5 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19165949c81908e4d66a8a2b0a25a completed April 29, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30ca89508190847874ab3bc1e01f completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c31f385a881908283a8b079c4128a completed May 19, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c32ece3148190a22881d69c42e948 completed May 19, 2026, 9:52 a.m.
Created at: April 17, 2026, 4:08 p.m.