Triple

T16227666
Position Surface form Disambiguated ID Type / Status
Subject Taihaku-ku E393894 entity
Predicate hasJapaneseName P9882 FINISHED
Object 太白区
太白区 is one of the wards of Sendai City in Miyagi Prefecture, Japan, known for its mix of residential areas, natural scenery, and cultural sites.
E1200847 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: 太白区 | Statement: [Taihaku-ku, hasJapaneseName, 太白区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 太白区
Context triple: [Taihaku-ku, hasJapaneseName, 太白区]
  • A. 渭南市
    渭南市 is a prefecture-level city in eastern Shaanxi Province, China, known for its location on the Wei River plain and its rich historical and agricultural significance.
  • B. 张湾区
    张湾区是湖北省十堰市下辖的一个市辖区和主要城区之一,以工业基础和城市综合功能较为发达而著称。
  • C. Weibin District
    Weibin District is an urban administrative district that serves as the central area and government seat of Xinxiang City in Henan Province, China.
  • D. Weicheng District
    Weicheng District is an urban administrative district forming part of the city of Weifang in Shandong Province, China.
  • E. Chang’an District, Xi’an
    Chang’an District, Xi’an is a southern urban district of Xi’an, China, known for encompassing parts of the city’s historical sites and rapidly developing suburban areas.
  • 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: 太白区
Triple: [Taihaku-ku, hasJapaneseName, 太白区]
Generated description
太白区 is one of the wards of Sendai City in Miyagi Prefecture, Japan, known for its mix of residential areas, natural scenery, and cultural sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 太白区
Target entity description: 太白区 is one of the wards of Sendai City in Miyagi Prefecture, Japan, known for its mix of residential areas, natural scenery, and cultural sites.
  • A. 渭南市
    渭南市 is a prefecture-level city in eastern Shaanxi Province, China, known for its location on the Wei River plain and its rich historical and agricultural significance.
  • B. 张湾区
    张湾区是湖北省十堰市下辖的一个市辖区和主要城区之一,以工业基础和城市综合功能较为发达而著称。
  • C. Weibin District
    Weibin District is an urban administrative district that serves as the central area and government seat of Xinxiang City in Henan Province, China.
  • D. Weicheng District
    Weicheng District is an urban administrative district forming part of the city of Weifang in Shandong Province, China.
  • E. Chang’an District, Xi’an
    Chang’an District, Xi’an is a southern urban district of Xi’an, China, known for encompassing parts of the city’s historical sites and rapidly developing suburban areas.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2785f88190ae80d5d61129d3e5 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079c4184819091d3355a5afaeced completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a0009f631e08190aae358edc9ffad6b completed May 10, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a000a6de0488190ac72fb9eee9ec531 completed May 10, 2026, 4:32 a.m.
Created at: April 10, 2026, 5:03 a.m.