Triple

T4662620
Position Surface form Disambiguated ID Type / Status
Subject Lin E102569 entity
Predicate usageRegion P908 FINISHED
Object Taiwan E30841 NE FINISHED

How this triple was built (2 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: Taiwan | Statement: [Lin, usageRegion, Taiwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taiwan
Context triple: [Lin, usageRegion, Taiwan]
  • A. Taiwan, Province of China
    Taiwan, Province of China is a self-governed island territory in East Asia known for its advanced economy, vibrant democracy, and complex political status in relation to the People's Republic of China.
  • B. Formosa
    Formosa is a city in northeastern Argentina that serves as the capital of Formosa Province, located near the border with Paraguay.
  • C. Formosa chosen
    Formosa is the historical Western name for Taiwan, an East Asian island whose post–World War II status was addressed in Allied agreements such as the Cairo Declaration.
  • D. Taito, Taiwan
    Taito is a township in Taitung County, Taiwan, known for its indigenous culture, coastal scenery, and role as a gateway to southeastern Taiwan’s natural attractions.
  • E. Chinese Taipei
    Chinese Taipei is the designated name under which Taiwan participates in various international organizations and events, particularly where its political status is sensitive.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632b7fb88190821f213620719d6b completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa26276481908d6476a94aa3e743 completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:15 p.m.