Triple

T15067384
Position Surface form Disambiguated ID Type / Status
Subject Taiwan Railways network E379789 entity
Predicate connects P390 FINISHED
Object Chiayi
Chiayi is a city in southwestern Taiwan known as a gateway to the Alishan scenic area and for its role as a regional transportation and cultural hub.
E1144715 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: Chiayi | Statement: [Taiwan Railways network, connects, Chiayi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiayi
Context triple: [Taiwan Railways network, connects, Chiayi]
  • A. Xinyi
    Xinyi is a county-level city administered by Maoming in Guangdong Province, China, known for its agriculture and regional commerce.
  • B. Xinyi
    Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
  • C. Chiayi County
    Chiayi County is a largely rural county in southwestern Taiwan known for its agriculture, cultural attractions, and proximity to scenic areas such as Alishan.
  • D. Hualien City
    Hualien City is a coastal urban center in eastern Taiwan known for its proximity to Taroko Gorge and its role as a regional transportation and tourism hub.
  • E. Tainan
    Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
  • 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: Chiayi
Triple: [Taiwan Railways network, connects, Chiayi]
Generated description
Chiayi is a city in southwestern Taiwan known as a gateway to the Alishan scenic area and for its role as a regional transportation and cultural hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chiayi
Target entity description: Chiayi is a city in southwestern Taiwan known as a gateway to the Alishan scenic area and for its role as a regional transportation and cultural hub.
  • A. Xinyi
    Xinyi is a county-level city administered by Maoming in Guangdong Province, China, known for its agriculture and regional commerce.
  • B. Xinyi
    Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
  • C. Chiayi County
    Chiayi County is a largely rural county in southwestern Taiwan known for its agriculture, cultural attractions, and proximity to scenic areas such as Alishan.
  • D. Hualien City
    Hualien City is a coastal urban center in eastern Taiwan known for its proximity to Taroko Gorge and its role as a regional transportation and tourism hub.
  • E. Tainan
    Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeea750c819082d8823c9ab6c5a2 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2268dc8190882e5a489e0c49c2 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedea1fea88190b891485794acfa8d completed May 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69fedf2b52348190bd8fc6999cb0abd7 completed May 9, 2026, 7:15 a.m.
Created at: April 10, 2026, 3:02 a.m.