Triple

T19180739
Position Surface form Disambiguated ID Type / Status
Subject Taihoku Prefecture E469564 entity
Predicate JapaneseName P744 FINISHED
Object 臺北州
臺北州 was an administrative division of Japanese-ruled Taiwan that encompassed the Taipei area during the colonial period.
E1362441 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: 臺北州 | Statement: [Taihoku Prefecture, JapaneseName, 臺北州]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 臺北州
Context triple: [Taihoku Prefecture, JapaneseName, 臺北州]
  • A. 臺北市
    臺北市是臺灣的首都與最大都會區之一,為國家的政治、經濟、文化與交通中心。
  • B. 桃園縣
    桃園縣(現為桃園市)是位於臺灣北部、以航空樞紐桃園國際機場與快速都市發展聞名的行政區域。
  • C. 嘉義市
    嘉義市 is a county-level city in southwestern Taiwan known for its cultural heritage, historic sites, and role as a gateway to the Alishan scenic area.
  • D. 中山區
    中山區 is a central urban district of Taipei, Taiwan, known for its bustling commercial areas, hotels, and cultural attractions.
  • E. 新竹市
    新竹市 is a city in northern Taiwan known for its high-tech industry hub, particularly the Hsinchu Science Park, and its strong education and research institutions.
  • 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: 臺北州
Triple: [Taihoku Prefecture, JapaneseName, 臺北州]
Generated description
臺北州 was an administrative division of Japanese-ruled Taiwan that encompassed the Taipei area during the colonial period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 臺北州
Target entity description: 臺北州 was an administrative division of Japanese-ruled Taiwan that encompassed the Taipei area during the colonial period.
  • A. 臺北市
    臺北市是臺灣的首都與最大都會區之一,為國家的政治、經濟、文化與交通中心。
  • B. 桃園縣
    桃園縣(現為桃園市)是位於臺灣北部、以航空樞紐桃園國際機場與快速都市發展聞名的行政區域。
  • C. 嘉義市
    嘉義市 is a county-level city in southwestern Taiwan known for its cultural heritage, historic sites, and role as a gateway to the Alishan scenic area.
  • D. 中山區
    中山區 is a central urban district of Taipei, Taiwan, known for its bustling commercial areas, hotels, and cultural attractions.
  • E. 新竹市
    新竹市 is a city in northern Taiwan known for its high-tech industry hub, particularly the Hsinchu Science Park, and its strong education and research institutions.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61be86c81908710341262e911cd completed April 20, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f8b43d988190958b315d7634f86d completed May 15, 2026, 10:43 a.m.
NEDg Description generation batch_6a06f91fe48081909cb332dca4bdb1f4 completed May 15, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_6a06f9a5bddc8190acb60a66c5fc3536 completed May 15, 2026, 10:47 a.m.
Created at: April 10, 2026, 12:07 p.m.